CN109074411A

CN109074411A - System and method for assessment electronics component

Info

Publication number: CN109074411A
Application number: CN201780021918.6A
Authority: CN
Inventors: J·科克雷尔; T·M·麦克勒奥德
Original assignee: Analog Devices Inc
Current assignee: Analog Devices Inc
Priority date: 2016-03-30
Filing date: 2017-03-30
Publication date: 2018-12-21
Anticipated expiration: 2037-03-30
Also published as: EP3436991A1; WO2017173143A1; CN109074411B

Abstract

Various examples are related to the system and method for assessment electronics component.Server computational device can provide assessment user interface for the user application executed on user's computing device.Server computational device can receive the instruction for assessment electronics component from user application and via user interface, and access the configuration data collection of electronic component.Configuration data collection may include the supplemental characteristic for describing one group of parameter of the electronic component；The binding data of relationship between first parameter of characterising parameter collection and the first mode input parameter；With the simulator data for the model for describing the electronic component.Server computational device can also be based at least partially on configuration data collection and carry out assessment electronics component.

Description

System and method for assessment electronics component

It claims priority

This application claims U.S.Provisional Serial 62/315,380 and 2017 year 2 months submitted on March 30th, 2016 The equity for the U.S. Patent Application Serial Number 15/439,822 submitted for 22nd, the disclosure of which are fully incorporated in this by reference.

Background technique

It is logical with the interface of the environmental sensor (for example, temperature, vibration, acceleration, light, speed, sound etc.) of many types Often include receive and convert the signal from sensor using analog circuit and mixed signal circuit with provide discrete time or Number represents.With the range expansion of different available sensors types and with the continuous improvement of precision, it is capable of handling and turns Bringing from the circuit design of the signal of sensor becomes to become increasingly complex.At the same time, analog hardware design expertise is being answered With with gradually decreased in system design engineer, and focus then turns to one or more softwares or sensor professional knowledge.

Summary of the invention

Various examples are related to the system and method for assessment electronics component.Server computational device can be in user's calculating The user application executed on device provides assessment user interface.Server computational device can be from the user application simultaneously The instruction of the electronic component for assessment is received via the user interface, and accesses the configuration data collection of the electronic component. Configuration data collection can include: describe the supplemental characteristic of one group of parameter of the electronic component；First parameter of characterising parameter collection with The binding data of relationship between first mode input parameter；With the simulator data for the model for describing the electronic component.Such as Described herein, model may reside within server computational device or different positions.Server computational device can also at least portion Divide ground based on configuration data collection come assessment electronics component.

Also disclose other example, including method and machine readable media example.

Detailed description of the invention

In the accompanying drawings, it is not drawn necessarily to scale, identical appended drawing reference can describe the similar assembly in different views. Same numbers with different letter suffix can indicate the different instances of similar assembly.Attached drawing is by way of example, and not limitation Show the various example embodiments discussed in this document.

Fig. 1 shows environment according to an example embodiment of the present disclosure.

Fig. 2 shows assessment systems according to an example embodiment of the present disclosure.

Fig. 3 is the figure for showing another example embodiment of environment according to an example embodiment of the present disclosure.

Fig. 4 is the figure for showing an example embodiment of configuration data collection.

Fig. 5 shows signal chains according to an example embodiment of the present disclosure.

Fig. 6 is the figure for showing another example signal chain of Fig. 5.

Fig. 7 is the figure for showing another example signal chain.

Fig. 8 is the figure for showing using client and assessment tool the example assessment for assessing example signal chain.

Fig. 9 is to show the example that can be performed the process flow to realize Fast Fourier Transform (FFT) (FFT) analysis The flow chart of embodiment.

Figure 10 be show can be performed it is exemplary to detect one of the process flow of the slicing of analog-digital converter (ADC) Flow chart.

Figure 11 is the exemplary screen section for showing the assessment screen that user can be supplied to via user interface (UI) Figure.

Figure 12 is another exemplary screenshot capture for showing the assessment screen with supplementary features.

Figure 13 is another exemplary screenshot capture for showing the assessment screen for the Figure 11 and 12 for having selected fft analysis label.

Figure 14 is to show another exemplary screenshot capture of the assessment screen for the Figure 11 and 12 for having selected waveform label.

Figure 15 is another exemplary screenshot capture for showing the assessment screen of Figure 11 and 12, wherein having selected next step choosing Xiang Ka.

Figure 16 is the exemplary screenshot capture for showing another configuration of assessment screen of Figure 11 and 12.

Figure 17 is an exemplary block diagram for showing the software architecture for computing device.

Figure 18 is the block diagram for showing computing device hardware structure, wherein one group or series of instructions can be executed so that machine Execute the example of any method discussed in this article.

Specific embodiment

Certain details set forth below are to provide fully understanding to the example embodiment of the disclosure.However, art technology Personnel will be clear that, can without the various aspects of these specific details example embodiment of the disclosure.? Under some cases, it is not shown specifically well known circuit, control signal, timing protoc, computer system component and software operation, with Avoid unnecessarily obscuring the example embodiment of the disclosure.

It has been recognised by the inventors that, simulation or the erosion of mixed-signal designs professional knowledge may cause design cost increasing Add, progress over-expense, in some instances it may even be possible to influence end product quality.For example, if system engineer can choose it is a series of different Conversion and signal handling equipment, then engineer may be made without enough qualifications or tool in related equipment selection or system The informed decisions of device configuration, including internal configuration or external support circuits.Therefore, family can be used using simulation tool can Various distinct devices and the device configuration in the context of specific Application in Sensing are assessed in a manner of " virtual ".

The example of virtual assessment tool described herein can be provided based on the received selection of institute and configuration setting to institute Select the assessment of circuit or system component and configuration.Circuit and system design generally include the specification of one or more system parameters, Such as in terms of sensor specification (e.g., including parameter area, environmental operating range or the limitation of sensing, the parameter of sensing are surveyed One or more of accuracy of measurement or the parameter measurement precision of sensing).Virtual assessment tool, which can provide, allows user to select electricity The interface of subassembly (also referred to as component).The example of component may include electronic equipment, circuit, system etc..Virtual assessment tool It can be provided for the interface of configuration for being arranged or selecting selected component.Virtual assessment tool can also be to selected component Stimulus signal (for example, selected waveform or input signal with specific characteristic) is provided, in order to provide instruction to provided signal Behavior response assessment data.Assessment data can be used for the needs for determining whether selected component meets user.

Fig. 1 shows environment 100 according to an example embodiment of the present disclosure.Environment 100 may include server 120, clothes Business device 120 can execute assessment tool 124, and the assessment tool 124 is in response to receiving stimulus signal and to 102 (1- of client N) behavior model of selected one or more components is provided.Client 102 (1-N) can be or including any suitable meter Device is calculated, including such as desktop computer, laptop computer, work station, mobile device, tablet computer.Assessment tool 124 Behavior model can be supplied in response to receiving the selection at least one of component or configuration from client 102 (1-N) Client 102 (1-N).Each client 102 (1N) may include coding have executable instruction at least one is computer-readable Medium, the executable instruction can be executed by one or more processing units of client 102 (1N), for sending, receiving, 103 (1N) of application on coding and/or the decoding data from server 120, such as relative client 102 (1N).Some In example, application program 103 (1N) may include for sending, receiving from sensor 104 (1M) or server 120, coding or The application program based on web of decoding data.For example, application program 103 (1-N) can be held in web browser application Row.It in some instances, may include application that another is not based on web using 103 (1N), for from sensor or server 120 transmissions, reception, coding and/or decoding data.

Each client 102 (1N) may be coupled to network 110, with to server 120 provide one or more components or Configuration selection, and assessment data are received from server 120.One or more networks can be used to realize in network 110, for example, But it is not limited to, local area network (LAN), wide area network (WAN), Metropolitan Area Network (MAN) (MAN), cellular network and/or internet.It is supplied to network 110, carry out automatic network 110 can be wiredly and/or wirelessly with the communication for carrying out automatic network 110, and can also be by present or general Any network equipment as known in the art come provides.The equipment communicated by network 110 can be logical with any communication protocol Letter, including but not limited to TCP/IP, UDP, RS-232 and IEEE802.11, long term evolution (LTE) or LTE Advanced wireless communication, Or any other cellular/wireless communication standard.

Server 120 can provide, handle and/or with interface, module and/or circuit communication, terminated with assessment from client The selected component received and configuration, and assessment data are supplied to client.Server 120 may include one or more processors Unit 121 and computer-readable medium 123.Computer-readable medium 123 can encode the finger for executing assessment tool 124 It enables, which may include client communication interface, signal generator, data-analyzing machine module etc..For example, assessment The instruction of tool 124, which can make one or more processors unit 121 receive assessment from the client of client computer 102 (1N), to be had The request of the selected component of institute's arrangement, and in response to the request, using the signal running simulation of generation and to request client End provides assessment data.Server may be able to carry out multiple examples of the instruction of assessment tool 124, with response from single visitor Multiple same periods at family end, multiple and different clients or combinations thereof request.Server 120 can provide a user the component list or use One or more of config option is adjusted in family.The component list and the adjustable config option of user can store in server In 120 addressable one or more databases.For example, database can store in data storage 130.

In operation, the client of client computer 102 (1N) can star corresponding application program 103 (1N) so that server 120 participate in the instruction for executing virtual assessment tool 124.For example, client can navigate to the net for being directed toward server 120 It stands, to request access to assessment tool 124.Server 120 can provide component option list to requesting client, and can be from The selection to one or more components is received in the component list.In some instances, the component list may include analog circuit group Part, such as digital analog converter (DAC), ADC, filter or other circuit for signal conditioning etc..In other examples, the selection of component It can come from another application program run on server 120 based on the previous selection of client.

It may include separate devices and/or chain or other equipment arrangement by the component that assessment tool 124 is assessed.Discrete device can To include such as DAC, ADC, filter, sensor, transistor.The chain (referred to here as signal chains) of discrete devices may include It communicates with one another to handle the example of the separate devices of stimulus signal.For example, component may include system as described herein, circuit, Equipment etc..The signal chains to be assessed are described, in some instances, signal chains data are received by UI 364 from user.

In response to receiving the selection to component, assessment tool 124 can provide the use for being used for component to requesting client The adjustable config option in family.Config option, which is adjusted, in user can correspond to the configuration setting that can be used for one or more components (for example, clock rate, outside shake, whether enable one or more features, such as digital down converter (DDC)).It can be used for The configuration data collection being stored in configuration files database is deposited to describe the config option that can be used for specific components, such as in data At reservoir 130.Configuration data collection can be or including any suitable L ogical data unit, for example, file.Assessment can also wrap It includes and stimulus signal is fed to component.Server 120 can also provide user-defined config option for signal generator, to mention For data-signal, such as signal type (shape), frequency, amplitude etc..In some instances, input can be retrieved from database Signal configuration options, such as configuration files database.

In response to receiving selected configuration, assessment tool 124 can be by providing thorn generated to the model of component Energizing signal (being selected based on the received configuration of institute) is assessed to run, for example, assessing output data to provide.The assessment of component can be with Based on information corresponding with the component from product data library searching and/or from the configuration of client 102 (1-N) received component Option.Signal chains may be implemented with running simulation in assessment tool 124, including signal generator, one or more simulators and One or more data-analyzing machines.Assessment tool 124 can for example by being realized by application program 103 (1-N) user interface Assessment output data is provided to requesting client 102 (1-N).In some instances, requesting client 102 (1-N) is adjustable One or more config options simultaneously provide the request for executing assessment again.

Fig. 2 shows assessment systems 200 according to an example embodiment of the present disclosure.For example, assessment system 200 can be shown One example implementation of the assessment tool 124 of environment 100 and/or use.System 200 may include assessment tool 224, be matched It is set to based on from component database 230 and the virtual assessment of the data of configuration data collection 240 execution.Assessment tool 224 can be It is realized in the server 120 of Fig. 1.Component database 230 and/or configuration data collection 240 can Fig. 1 server 120 and/or It is realized in data storage 130.

Here Figure 11-15 is depicted and is shown the various of assessment screen 1100 associated with assessment tool in greater detail Sample screen shot.Assessing screen 1100 is example, it is not intended that is limited.In some instances, assessment tool 224 can be with Use the rendezvous server (such as server 120) of dynamic link library (DLL) as the application program operation based on web.For example, DLL may include movable function model, by realizing that function modeling operates (MOTIF) DLL and virtual assessment DLL.For example, can be with DLL is encoded using C# or C++.MOTIF DLL may include application programming interfaces (API), receives and comes from component The corresponding one or more components model file of the selected component of database, and corresponding component model file can be used To run the simulation of selected component.

Assessment tool 224 may rely on component database 230 and configuration data collection 240.Component database 230 can be with Any suitable format storage, such as extensible markup language (XML) format.Data from component database can be loaded into In MOTIF DLL, so as to simulate high-speed assembly.The configuration data collection 240 that can be stored in xml format can be loaded into It is loaded in the component of assessment tool 224 or by the component (for example, DLL or other similar component) of assessment tool 224, to be each A products configuration user interface.Configuration data collection 240 can also be simulated by virtually assessing DLL for configuring user interface and bottom Between detailed construction relationship.

Assessment tool 224 can be with the client that runs in a browser (for example, the client of the client 102 (1N) of Fig. 1 End) docking.In some instances, client software can be write in React JavaScript frame.Additional function can be with It is provided by the open source shape library of referred to as D3.Virtual assessment tool 224 can provide the group from configuration data collection 240 to client Part list.In some instances, the component list can be divided into classification.In some instances, the component list can be or including Product figure, such as chip or module.The figure may include one or more highlighted components.In some instances, chart Highlight and can change to emphasize the component currently selected.In some instances, assessment tool 224 can present link with Printing assessment session navigates to tables of data, navigates to the product page or purchase equipment associated with the component, such as Fig. 8 It is discribed in screen capture image 800.

It can be associated with the unique configuration data collection of configuration data collection 240 by the component that assessment tool 224 is supported.For The configuration data collection 240 of component may include the various data for describing component, for example, all or part of cloth of user interface Office, for receiving the relationship etc. between user configuration setting and setting, result and simulation.Assessment tool 224 uses these boundaries Face and structural relation execute assessment.Configuration data collection 240 is in some instances to be generated or encoded with XML, file can Can include several parts, as Args, Bindings, Bundles, Generators, Simulators, Analyses, Evaluations and Pages.Part may include one or more elements.The element of configuration can correspond in software summarize Object example.When virtual assessment tool 224 initializes session, it reads the configuration file of appropriate product and creates specified The various associated instances of object.

Fig. 3 is the figure for showing another example embodiment of environment 300 according to an example embodiment of the present disclosure.Environment 300 Including client 302 and server end 301.Client 302 can by with herein in regard to client 102 (1-N) description in a manner of Similar mode operates.For example, client 302 can execute web browser application 350.It can be used any suitable Web browser application 350, for example, the Internet Explorer of Microsoft Corporation^TM、Microsoft The Microsoft of CorporationMozillaFoundation'sThe Chrome of Google company Deng.Web application 352 can be executed in web browser application 350 or be held by web browser application 350 Row.For example, web browser application 350 and/or web application 352 can execute the application program 103 (1-N) of Fig. 1 Operation.Web application 352 can be generated and/or fill user interface (UI) 364, may be displayed on client 302 On screen or other input/output (I/O) equipment.

Server side 301 may include assessment tool 324, can be to describe with herein in regard to assessment tool 124,224 The similar mode of mode operate.For example, assessment tool 324 can be in (such as the service of environment 100 of one or more servers Device 120) at execute.Assessment tool executable program 324 can be communicated with web application 352, for example, to pass through UI 364 receive parameter value and/or provide assessment output data or other data for filling UI 364 by communication linkage 357. Communication linkage 357 can be or be carried out by network, similar to the network 110 of Fig. 1.In some instances, although can make With any suitable technology, but communication link 357 can be used asynchronous JavaScript and XML (AJAX) programming technique come it is real It is existing.In some instances, assessment tool 324 may include that can execute together with the more of the operation of realizing assessment tool as described herein A executable program and/or DLL.

Assessment tool 324 can be communicated with one or more models 356.Model 356 is shown in server side 301, and And it can realize or execute on the same server for executing assessment tool 324 and/or at different computing devices.It can make With the model of any suitable type.For example, data model 358 can describe electronic component to database, table or other suitable numbers According to the response of the modeling of the different stimulated signal at structure.Assessment tool 324 can inquire data model 358 and be built with retrieving description Data of the membrane module to the response of various pre-simulated stimulus signals.EXecute UML 360 can be by server or other are suitable Computing device execute algorithm model.The example of eXecute UML includes for example emphasizing (SPICE) model with integrated circuit Simulated program and MOTIF model, such as ADI simADC and ADI the simDAC model that can be obtained from ADI company.

In one example, assessment tool 324 can also be communicated with one or more working models 362.Workbench mould Type 362 can be " hardware in loop " model comprising the physical model circuit for the component to be modeled has stimulus signal and surveys Measure its response.For example, working model 362 can be realized in physics laboratory's facility, which can be remote From client 302 and/or from the server or other computing devices for executing assessment tool 324.Calculating in laboratory facility Device can receive the data for describing required stimulus signal, prompt equipment in laboratory facility to generate stimulus signal, and will thorn Energizing signal is supplied to the Physical Examples of modeled components.Computing device at laboratory facility can also be with the response of capture component and general The response of capture sends back assessment tool 324.

Assessment tool 324 can during assessment Boot Model 356.For example, assessment tool 324 can be by making can be performed Model 360 executes at the server for executing assessment tool 324 and/or by requesting another computing device to execute executable mould Type 360 starts eXecute UML 360.Assessment tool 324 can include the number for constituting the data of data model 358 by accessing Carry out log-on data model 358 according to storage or other storage locations.Assessment tool can be for example by requesting at laboratory facility Computing device executes working model 362 to start working model 362, for example, as described herein.

Assessment tool 324 can also be communicated with one or more configuration data collection 340.Configuration data collection 340, such as herein In greater detail about Fig. 4, it may include for promoting component using one or more models in model 356 simulation Various metadata.It in some instances, can be with configuration data collection 340 by each component that assessment tool 324 is assessed It is associated.In some instances, single configuration data collection 340 can describe any kind of component, including for example described herein Signal chains.

Fig. 4 is the figure for showing an example embodiment of configuration data collection 340 (1).For example, configuration data collection 340 (1) can To be one of configuration data collection 340 shown in Fig. 4.Configuration data collection 340 (1) may include supplemental characteristic 450, binding data 452, data 454, generator data 456, simulator data 458, analysis data 460, assessment data 462 and page data are bundled 464。

Supplemental characteristic 450 can describe the parameter that can be used as described herein, with user (for example, operation client 102 (1-N)) and one or more model 356 between carry out interface.Parameter or arg can be any to be made in assessment tool 324 Value (for example, self-defining value), such as user-defined setting or results of property, such as together with associated metadata. Parameter can have each attribute described by metadata (its a part that can be supplemental characteristic 450).Example parameter attribute packet Include the unique name of type, floating-point, integer, boolean etc. and parameter.Other example parameter attributes include the name of display Title, unit information, minimum and maximum permissible value etc..The supplemental characteristic 450 of configuration data collection 340 (1) can be by data and first number According to enumerate be limited to will the parameter used in assessment session, but not execute any operation wherein.

Supplemental characteristic 450 may include the data (for example, metadata) for describing the different parameters that assessment tool 424 uses. For example, the supplemental characteristic 450 of description special parameter can indicate the type of parameter.Example parameter type may include floating-point, whole Number, Boolean, can be enumerated character string.The supplemental characteristic 450 for describing special parameter can also include that one group of description allowable value Limitation object.Limitation can be using minimum, maximum or min-max to, one group of discrete permissible value or unconfined form.When When assigning values to parameter, assessment tool 424 or other suitable components can for described by supplemental characteristic limitation (if If having) check received value validity.

In some instances, the parameter that supplemental characteristic 450 describes provides the general of the input parameter for receiving model 356 Format.As described herein, parameter allows UI 364 to provide and/or request simulation input parameter from the user.No matter use Which kind of base simulator, generator, assessment or analysis or analysis, all form exists in a uniform matter.Example parameter data 450 As follows.In the example of supplemental characteristic 450, initialize with unconfined floating point parameters and with discrete permission option The string argument of group " FS " and " ODR ".

<Args>

< FloatName=" vStart " DisplayName=" StartVoltage " Unit=" V " Value=" 0.001"/>

<ToggleName=" fsOrODR " DisplayName=" ControlFSorODR " Value=" FS ">

</Toggle>

</Args>

In this example, parameter vStart provides parameter name, parameter value and parameter selection fsOrODR.FsOrODR can be with Indicate that starting voltage is with specified output data rate (ODR) or specified filter.Note that the example parameter data 450 are examples and are not intended to be limited to.

Binding data 452 can be with the binding or relationship (for example, parameter that supplemental characteristic 450 describes) between characterising parameter. Binding can be between one or more source parameters (also referred to as source) and one or more target components (also referred to as destination) Oriented relationship.One exemplary combination is directly associated with the second parameter ArgB by the first parameter ArgA.In the binding of this example, The value of the value tracking ArgA of ArgB, so that when the change of the value of ArgA, the value of ArgB is set as identical.In some exemplary combinations In, several parameters can mathematically connect (for example, algebra connection) by formula.It, can be in another exemplary combination Two other parameters, square root sum square of ArgA and ArgB are set by a parameter ArgC.

In conjunction with mathematical relationship that can in any other suitable format between expression parameter, for example, postfix notation.? In some examples, binding can be conditional or based on scene.For example, constraint can be with the pass between characterising parameter System, this relationship are genuine under certain conditions, are false under other conditions.If parameter or parameter group are arranged to specific Value, then can satisfy condition binding condition or condition, but other times cannot.

Here is example binding data 452, it is shown that two example bindings.First binding includes one and constrains, and one The parameter of entitled 4800OverODR is equal to 4800 divided by the value of parameter odr.Second binding is a condition binding, is indicated such as The value of fruit fsOrODR is ' FS', fsInternal will be arranged to the value of fsbits, but if the value of fsOrODR be ' ODR', The value of 4800OverODR will be then set as.

<BindingRPN=" 4800@odr/ " Destination=" 4800OverODR "/>

<BindingToggle=" fsOrODR " Destination=" fsInternal ">

<CaseValue=" FS " Source=" fsbits " Destination=" fsInternal "/>

<CaseValue=" ODR " Source=" 4800OverODR " Destination=" fsInternal "/>

</Binding>

</Bindings>

In some instances, as described herein, binding can permit assessment tool 324 in a manner of effective and/or is consistent The transitional information between UI 364 and model 356.For example, different models 356 are it can be desirable to specified difference is defeated in different ways Enter parameter set, such as medium in different units.The binding described by binding data 452 can will be received via UI 364 from user And/or it is supplied to one or more parameters of user and indicates other one or more ginsengs of the input parameter of particular model 356 Number is associated.For example, binding may insure that one group of user-defined setting is mapped to the input parameter of various models 356.For example, Particular model, generator, assessment or analysis may expect to receive the starting voltage indicated with millivolt (mV).On the other hand, parameter Starting voltage as unit of volt can be provided.Binding can be simulator by Parameter Switch, generator, assessment or analyze institute Desired input.In another example, when model 356 returns to results of property, binding maps back these results user friendly Format to be transmitted.

In some instances, binding data 452 may include any appropriate number of binding with any appropriate depth.? In figure theoretical term, determine that the combination of parameter value can be expressed as being directed toward the tree of root, anti-treeing is prominent.It is such as digital when enabling or disabling When down coversion or the function of numerical control oscillation, the equipment that configuration information fundamentally changes may be useful.

Bundle the description binding of data 454.Beam can describe will for example at the public domain of UI 364 occur input and/ Or the grouping of output.For example, beam can describe to input and/or occur in the assessment screen 1100 of the example shown in Figure 12-14 Output in setting column, including in the field 1120,1122,1124 shown in the left side of assessment screen 1100.The content of beam is logical It often include parameter, for example, being described by supplemental characteristic 450.Beam may be empty, for example, the beam for enabling external RC circuit can So that UI 364 shows input and/or output related with this feature.When disabling external RC circuit function, can similarly prohibit With the beam, and display can not show input or output.Following example bag data 454 demonstrates two packets.First Referred to as " extEnabled ", expression will show " resistance " input and " capacitor " input.Second, referred to as " extDisabled " show Show one group of sky input and/or output to be shown, for example, when RC circuit function is disabled.

<DefName=" COMMON-BUNDLES ">

<BundleName=" extEnabled ">

<ArgName=" resistance "/>

<ArgName=" capacitance "/>

</Bundle>

<BundleName=" extDisabled "/>

</Def>

Generator data 456 can describe one or more generators, can be used for being to include by configuration data collection 340 (1) model of the component described generates one or more stimulus signals.Generator can be according to the mode of definition (for example, single-tone Sine wave etc.) specify stimulus signal.Any suitable generator can be used.In some instances, generator data 456 can be with It describes generator and inputs parameter.Following example generator data 456 describes two-tone diaphone:

<TwoToneName=" TwoTone ">

<BindingSource=" amp1 " Destination=" amplitude1 "/>

<BindingSource=" freq1 " Destination=" frequency1 "/>

<BindingSource=" amp2 " Destination=" amplitude2 "/>

<BindingSource=" freq2 " Destination=" frequency2 "/>

</TwoTone>

</Generators>

Simulator data 458 can describe one or more simulators.Simulator can be with packing model 356.For example, simulation Device may include the metadata of descriptive model input parameter, for example, according to parameter and/or binding (for example, by supplemental characteristic 450 And/or binding data 452 describes).Simulator can also include for the stimulus signal generated by generator to be converted to model The metadata of 356 desired formats.Analysis data 460 can describe one or more can executed to the output of model 356 A analysis.For example, analysis can receive output data from model 356 and generate assessment data, figure and performance can be used The form of measurement.

The example of analysis may include X-Y map analysis, generate voltage, the electric current, function of the model output in description time domain The assessment data of rate or other parameters, Fourier transform analysis, such as FFT generate the assessment of the frequency content of descriptive model output Data etc..

Assessment data 462 can describe to can use one or more assessments of configuration data collection 340 (1).For example, assessment Data 462 can describe one or more signal chains, one or more generators and one or more analyses.Page data 464 can describe the different pages of UI 364, the also referred to as screen of UI 364.For example, the page data 464 of the page can specify Which parameter or packet are shown on the page, and can specify and what result shown.(result can also with parameter and/or beam come Description).In some instances, the phagocytosis volume data 464 of the page, which can specify, will run what assessment and/or analysis and/or incites somebody to action It is that figure or other output forms are shown.For example, the page changed for signal terminated in fft analysis module can be with The presentation for describing FFT figure, for example, as shown in figure 13.

In such as simulator, generator or the object of analysis, more parameters can be set so that object works.It is based on Which parameter of type identification is known priori in which object.For example, above-mentioned two-tone diaphone may need two width Degree and two frequencies are to generate signal output.These can be left default value, can also tying up by the parameter previously stated It is fixed to specify.

Statement corresponding with generator, simulator and analysis can be relied in the performance simulation in assessment tool 324 Object.For example, signal chains may include one or more generators, one or more simulators and one or more analyses.Fig. 5 Show signal chains 500 according to an example embodiment of the present disclosure.Signal chains 500 may include signal generator 510, simulator 520, filter 530 and data-analyzing machine 540.Signal chains 500 can be by the various examples of assessment tool described herein Any one realize.Many assessments in assessment tool, the especially assessment in high-speed product, can be used in signal chains Portion's structure (such as signal chains 500) calculates.Signal chains may include the other three sub- knot to be linked together with specific mode The link of structure, referred to as chain type.First chain link is 510 threaded link of signal generator, may include generating and providing stimulus signal Ability.Generator 510 can describe one or more as assessment object by the generator data of configuration data Ji Chu A component.

Signal generator 510 can successively be linked to one or more 520 chain of simulator links.As described above, simulator Or simulator can be with packing model 356 for modeling to component or component set.Simulator 520 can be by the stimulation of generation Signal (or output of previous analog device) is supplied to model 356, such as MOTIF model, for simulating.The output of simulator 520 It can be provided to other simulators and/or the link of 540 chain of data-analyzing machine, may include one or more analyses to analyze Model output data is to determine performance characteristic and provide assessment data.In one example, simulation output data can reach Pass through filter 530 before data-analyzing machine 540.In some instances, filter 530 may include sinc filter (for example, Sin (x)/(x) or sinc (π x)/(π x)).In some instances, 356 He of model of the description of simulator data 458 can be used Simulator carrys out analog filter.

Data-analyzing machine 540 includes two example analysis.For example, frequency domain (FD) analysis 542 can execute and/or promote by Model output data transforms to the FFT of frequency domain.In some instances, FD analysis 542 can be based further on the simulation number of transformation According to determining noise and distorted characteristic, such as signal-to-noise ratio (SNR).For example, the screen capture image 600 of Figure 13 is depicted when selection FFT figure when FFT label.In some instances, data-analyzing machine 540 may include in addition to FD analysis 542 or FD being replaced to divide Time domain (TD) analysis 544 of analysis 542.TD analysis rendering model output data, the curve can show the first mould on X-Y curve The relationship of type output parameter (for example, electric current, voltage, power etc.) and time.For example, assessment screen 1100 shown in Figure 14 is retouched The X-Y figure when selecting waveform tabs 1114 at graphic screen 1128 is drawn.

The example of Fig. 5 is only a kind of possible signal chains arrangement.In some instances, signal chain structure may be more complicated. For example, each link can also will be concentrated in configuration data and be instantiated comprising one group of static possibility project, each project.? In this case, each link will determine at runtime is applied to chain for which project as a whole.This decision be typically based on from The received configuration of client.For example, signal generator 510 can apply single-tone generator or two-tone diaphone.It can run When determine selection to be applied, this depending on user configuration select.In addition, simulator 520 can be using two different models 356 Any of the MOTIF model of selected component (for example, be used for), this depends on the feature (example whether user has enabled component Such as, DDC).

Fig. 6 is the figure for showing another example signal chain 600.Signal chains 600 include generator 602, are configurable to generate Single tone sine wave shape.Signal chains further include component ADC 604 and filter 606.ADC 604 can convert analog signals into number Word signal.Filter 606 can be low-pass filter, for example, to eliminate high-frequency noise.Analysis 608 is Fourier transform (example Such as, FD is analyzed) to show frequency content.Any suitable Fourier transformation, including such as fft algorithm can be used.Signal chains 600 can be described by configuration data collection 340.For example, generator data 456 can describe generator 602, including such as generator 602 attribute and/or input parameter, can be with parameter and/or in conjunction with describing.Simulator data 458 can describe ADC The input parameter of 604 model 356 and the model 356 of filter 606 and model, for example, parameter and/or binding.Analyze number Fourier transform analysis 608 can be described according to 460, for example, and the type of Fourier transform such as to be used, analysis frequency The input parameter of rate range or frequency focus etc..

Fig. 7 is the figure for showing another example signal chain 700.For example, signal chains 700 are the composite signals for including various chain chains Chain, the chain chain have can be activated or deactivate to change the component of the configuration of signal chains 700.Generator chain link 702 can wrap Two generators are included, single-tone generator 710 generates double-tone stimulation to generate single-tone sine stimulus signal and two-tone diaphone 712 Signal.Assessment tool can for example based on operation when or user provide other settings come determine execute which generator 710, 712。

Similarly, simulator chain link 704 may include two composition simulators 714,718, and each packaging model has phase Same component (is in this example ADC).For example, simulator 714 can be the case where enabling special characteristic (for example, DDC feature) The model of lower package ADC, and simulator 718 can wrap up the model of ADC in the case where disabling feature.Assessment tool 324 can Which simulator 714,718 and associated model 356 used based on input parameter determination, for example, can be existed by user It provides when operation or before.Signal chains 700 further include analysis 706,708, may include that TD, X-Y analyze 706 and FDFFT points Analysis 708.

Fig. 8 is to show using client 302 and assessment tool 324 example assessment for assessing example signal chain 802 800 figure.Although assessment 800 is described as being executed by client 302, assessment tool 324 and configuration data collection 340 (1), assessment 800 and similar assessment can be executed with various assessment tools, client and configuration data collection, as described herein.

In the example of fig. 8, signal chains 802 include generator 820, simulator 822 and analysis 824, but other signals Chain can be realized in a similar way by assessment tool.Before implementing assessment 800, assessment tool 324 can retrieve and signal The associated configuration data collection of one of chain 802 and/or the component of signal chains 802.Configuration data collection may include characterising parameter 806, the mould of 808,812,814,816,818 supplemental characteristic, the generator data for describing generator 820, description simulator 822 The analysis data of quasi- device data and descriptive analysis 824.

Assessment tool can receive the value of some or all of parameter 806,808,812,814,816,818 from user. For example, user can be provided in parameter 806,808,812,814,816,818 by user interface 364 to web application 352 Some or all of value.Web application 352 can be by communication link 357 (Fig. 3) parameter 806,808,812,814, 816,818 to 324 offer value of assessment tool.In some instances, some in parameter 806,808,812,814,816,818 or All with default value (for example, in configuration data centralized definition), so that receiving in some cases from user specific to assessment Value be unnecessary.

Parameter can be used as input parameter directly or as the result of binding be supplied to generator 820, simulator 822 and/ Or analysis 824, such as binding 810.For example, parameter 806, which is provided to generator 820 as generator, inputs parameter.Simulator 822, which receive parameter 814 and 816 as simulator, inputs parameter.Simulator 822 also receives another input parameter, in this example, It is the mathematical combination of parameter 808 and 812.Analysis receives parameter 818 as analysis input parameter.

The received generator input parameter of institute can be supplied to generator and realize 826 by generator 820.Generator is realized 826 can be any suitable realization of transmitter, be provided for the stimulus signal of simulator 822.For example, occurring Device 826 can be executed on the same server for executing assessment tool 324 and/or be executed on different computing devices.One In a little examples, generator 826 can be or including number generator, which includes the table of such as indicating stimulation signals Or other tables, such as repetitive stimulation signal.In some instances, generator 826 can be or indicate stimulus signal including generating Data flow application program.In some instances, generator 826 can be or including physical signal generator (for example, being used for Working model 362 as described herein).

Simulator 822 can receive mode input parameter and stimulus signal, and mode input parameter and stimulus signal are mentioned Supply model 828, model 828 can be the model of any suitable type, such as described in model 356 above.? In some examples, generator realizes that 826 can be supplied directly to stimulus signal model 828, for example, bypassing 820 He of generator Simulator 822.Model output signal or data flow can be generated in model 828, can be supplied to simulator 822 and/or directly It is supplied to analysis and realizes 830.Analysis 824 can receive analysis input parameter and analysis input parameter is supplied to analysis and realizes 830, assessment output data can be generated.Assessment output data can be supplied to analysis 824 and/or be supplied directly to assess Tool 324.Assessment tool 324 can provide assessment output data to web application 352, can be incorporated into user In interface 364, for example, as described herein.

Fig. 9 is the process for showing the example embodiment that can be performed the process flow 900 to realize fft analysis Figure.In some instances, process flow 900 can be executed by assessment tool 324, for example, as the generation for realizing assessment tool 324 A part of code.In other examples, process flow 900 can by can by assessment tool call individual analysis realization Lai It executes.Analysis is realized can execute on the same server for executing assessment tool 324 and/or at different computing devices. Process flow 900 is described as being executed by computing device, which can be the server for executing assessment tool 324 or appoint What his suitable computing device.Process flow 900 can operate the output stream generated by model 356.

In operation 902, computing device can determine the frequency range of output stream.For example, the value of parameter can be passed through To determine frequency range.In some instances, frequency range be from direct current (DC), such as 0Hz to twice of nyquist frequency, For example, twice of the sample rate of data flow.The sample rate of data flow can for example pass through ADC model earlier in assessment signal chain To be arranged.

In one example, twice for setting nyquist frequency from DC for frequency range can summarize fft analysis Some aspects are to be applied to real signal or complex signal.In operation 904, computing device can determine that data flow is true goes back It is complicated and correspondingly marks.For example, data flow token can be true by computing device, if it be it is true, Or the complexity if it is complicated.Because data flow be it is true or complicated, in some examples, computing device True data flow will only be marked or only marks complicated data flow.When computing device execution is related to true and sophisticated signal When the operation of different disposal, it can refer to how data flow is labeled and using reality appropriate or complex operations.According to data The reality or complexity of stream and different exemplary operations include Fourier transform, such as FFT.For example, complex data stream is reported Stray energy may be different with equivalent truthful data stream.Moreover, for various operations, for certain complex operations with Practical operation, the frequency band analyzed may be different.For example, DC can be considered as Nai Kui by operation when receiving truthful data stream This distinct frequence.When receiving complicated data flow, twice from DC to nyquist frequency is can be considered in operation.

In operation 906, computing device can determine that the frequency for fft analysis is spuious.For example, fft analysis can be by number Multiple frequency separations are divided into according to the frequency range of stream, wherein each section represents one group of discrete frequency.Frequency is spuious can be with Be or including anticipatory data stream have frequency content frequency bin.For example, for single-tone analysis (for example, based on single-tone stimulation letter Number), frequency it is spuious can input tone frequency at or near and monotone positive and negative harmonic wave.In one example, Frequency is spuious can be according to following equation for single-tone analysis (e.g., including the assessment of the signal chains of monotone generator) [1] it determines:

F_n=k*n* (F+M₀)+M₁ [1]

In equation [1], Fn indicates that frequency is spuious.The harmonic wave of the variable n expression stimulus signal to be considered.In some examples In, n may include from -7 to 7 integer range.In the example that n includes -7 to 7 integer range, analysis is it is contemplated that single-tone Seven negative harmonic waves and single-tone seven positive harmonic waves, although it is contemplated that the harmonic wave of any other suitable quantity or range.Equation [1] the variable k in is constant multiplier.In some instances, variable k is equal to 1.In some of the component with reversing spectrum characteristic In example, variable k is equal to minus 1.Variable F in equation [1] is the frequency of single-tone (for example, used single-tone stimulus signal Frequency).

In equation [1], variable M₀And M₁Mixing is converted behind before representative domain and domain.For example, including such as ADC or DAC In the signal chains of converter, another component of converter or signal chains can execute mixing with realize output upper conversion or lower turn It changes.Variable M₀Mixing can be modeled before domain is converted, and variable M₁Mixing can be built after domain is converted Mould.

For determining that the spuious example equation of the frequency in double-tone analysis is provided by following equation [2].Double-tone analysis can Be stimulus signal include two discrete frequencies periodic signal analysis.

IMD_n=k*n₁*(F₁+M₀)+k*n₂*(F₂+M₀)+M₁ [2]

In equation [2], IMD_nIt is by frequency F₁And F₂The intermodulation distortion item of generation.Variable n₁And n₂Indicate stimulus signal The harmonic wave of each tone.For example, n₁And n₂It can be from -3 to 3 integer.In some instances, n₁And n₂It can also include thorn The frequency of expection intermodulation distortion between two tones of energizing signal.Variable k can be constant multiplier.F₁And F₂It can be stimulation The frequency of each tone of signal.Variable M₀And M₁It can indicate the identical value described above with respect to equation [1].In some examples In, the value of the various variables of equation [1] and [2] is determined during execution, for example, being based on parameter and/or binding.

In one example, converter (such as AD9625ADC of ADI company) provides the DDC choosing that can be enabled or disabled ?.When enabling DDC option, consequential signal is after conversion by being sometimes referred to as the frequency compounding of digital controlled oscillator (NCO) frequency. For example, binding can be related to indicating the parameter of NCO frequency.In some instances, NCO frequency can be used as the spuious of each generation Offset.In some instances, offset is referred to as Postmix.

Can selection operation 908, computing device can exclude to be distorted by noise shaping from the frequency range further considered Frequency.For example, some components can use the frequency content that noise shaping deliberately modifies noise, so that it falls in expected letter Except frequency range where number.This may reduce the signal-to-noise ratio of output.Meanwhile it may be by increasing the function with outer content Rate carrys out the frequency content of twisting data stream.It can be received and/or be calculated for determining based on various parameters and/or the value of binding The analysis for the frequency to be excluded due to noise shaping inputs parameter.For example, the component of such as converter using noise shaping It can have the parameter of referred to as tuning word, parameter can be expressed as.In some instances, user can determine tuning word Value, can be associated with fft analysis by binding.The value of tuning word can be indicated for example according to relationship in some instances For formula come determine exclude which frequency.The relationship of different components may be different.

In operation 910, computing device can determine the average noise of data flow, for example, not including the harmonic wave of stimulus signal With intermodulation frequency (for example, if stimulus signal is multi-tone).In operation 912, computing device can determine true at 906 The power of each of fixed spuious data flow.For example, computing device can combine the frequency bin of the number of thresholds around spuious Power, and combined stray power is compared with the noise floor determined in operation 910.In operation 914, computing device can With the remaining section of range of scanned frequencies other sections worst with determination.Worst other can be from harmonic wave and mutual frequency modulation The peak power frequency separation or frequency separation group selected in those of the unrelated frequency separation of rate or frequency separation group.It is operating 916, computing device can determine the output performance feature of data flow, for example, SNR, spurious-free dynamic range (SFDR) etc..

In some instances, computing device can add additional spuious to consider and/or detect out of band spectrum content.Example Such as, some components, such as some DAC used in radio frequency (RF) and other transmission applications, can the first Nyquist area it It is outer to introduce significant spectral content, therefore except the frequency range that operation 902 determines.When it is present, in this out of band spectrum Appearance leaks into user sometimes does not have other frequency ranges of legal transmitting rights.In some instances, fft analysis can pass through selection With tracking add it is spuious detect out of band spectrum content, it is described add it is spuious can be determine in operation 906 it is some or all of Spuious frequency-shifted version is converted to the second Nyquist area.In order to select band stray, computing device in some instances can It is spuious to be replicated in the one or more that operation 906 determines, and the spuious of duplication is moved to second or subsequent Nyquist Area.Computing device can calculate the power of one or more band strays.If the calculating power of band stray is higher than threshold value water Flat, this can be reported by the way that the description write-in of band stray is supplied to the assessment output data of user via UI 364 to user It accuses.For example, band stray may include in the output of the fft analysis of Fig. 9.User can use this feature to determine in DAC The needs and design for the simulation low-pass filter applied later.

In some instances, assessment tool 324 or other suitable components can be configured as in detection signal chain not Good frequency planning.For example, when ADC, which is received, has very low-frequency stimulus signal relative to ADC clock frequency, stimulation letter Number and its harmonic wave may cannot be distinguished each other, to keep the output of ADC very noisy.In some instances, designer may It can cause unintentionally to match with the frequency of ADC bad.For example, DDC, extraction and other similar ADC and pre- ADC processing operation can The frequency of ADC stimulus signal can be reduced in such a way that certain designers are unrecognized.In order to solve this problem, work is assessed Tool 324 or other suitable components can be configured as compare operation 906 at generate it is spuious.For example, assessment tool 324 or Other suitable components can be spuious spuious to generate offset in first by offset applications.For example, offset is spuious can be indicated to pierce The harmonic wave of energizing signal or intermodulation distortion.Then, assessment tool 324 or other suitable components can determine the power for deviating spuious place Whether the power at original spuious place is greater than.If it is, may indicate that the frequency of ADC input is too low.Assessment tool 324 or other The alarm that can be supplied to user can be generated in suitable component, for example, passing through the assessment output data shown at UI 364. User, which can choose, to be redesigned circuit and/or continues to assess.

In one example, assessment tool 324 or other suitable components can be configured as whole using noise in assessment The use of inappropriate tuning word is detected when the ADC of shape.For example, the noise shaping that any specific ADC is used can pass through offer Tuning word configures.Tuning word can describe the frequency band (for example, ideal frequency range) that stimulus signal may be resident.In some examples In, user can choose the tuning word of mistake, and in this case, it is occupied that noise can be transferred to stimulus signal by ADC In bandwidth, so as to cause low signal-to-noise ratio.In some instances, assessment tool 324 or other suitable components can believe stimulation It number is compared with the ideal frequency range indicated by tuning word.If stimulus signal is fallen in except ideal frequency range, assessment tool 324 Or other suitable components can alert user, for example, being write by the incorrect noise-shaped data provided at UI 364 Enter the assessment output data.User, which can choose, to be redesigned circuit and/or assesses.

In some instances, if assessment tool can be configured as user attempt to assess the component for undergoing excessive slicing or Signal chains then detect and alert user.For example, slicing may occur at ADC, wherein the received analog signal of ADC is higher than ADC It can be indicated in its output digital data stream.The peak that ADC can be indicated in output digital data stream is (referred to here as Full scale value) it can be the high value that ADC is generated.For example, in 16 ADC, when the output of ADC is hexadecimal When 65536, it is possible that full scale value.Respective physical value (for example, voltage, electric current etc.) corresponding to full scale value can example Such as resolution ratio based on ADC and change.

In some instances, assessment tool 324 can be configured as detects cutting for ADC during evaluation component or signal chains Wave.Figure 10 is to show to be performed to detect an exemplary flow chart of the process flow 1000 of the slicing of ADC.Some In example, process flow 1000 can be executed by assessment tool 324, for example, one as the code for realizing assessment tool 324 Point.In other examples, the individual analysis that process flow 1000 can be called by assessment tool is realized to execute.Analysis is realized It can be executed on the same server for executing assessment tool 324 and/or at different computing devices.1000 quilt of process flow It is described as being executed by computing device, which can be the server for executing assessment tool 324 or any other is suitable Computing device.

In operation 1002, computing device can determine the number that full scale value occurs in a stream.In operation 1004, meter The full scale threshold value of data flow can be determined by calculating device.Full scale threshold value can be the maximum acceptable of full scale value in data flow Rate.In some instances, full scale threshold value can describe to receive with the matched amplitude of scale with ADC just as ADC By the quantity of the full scale value of generation when the simulation input of string wave.For example, computing device can determine peak value, which can be with table Show the ratio that all output samples for full scale value will be discretized when the simulation input of ADC is full scale amplitude sinusoids Example.In some instances, peak value can be provided by following equation [4]:

In equation [3], N_codesIt can be the quantity for unique output code that ADC can be generated.For example, turning for 16 65536 unique output codes can be generated in parallel operation.Full scale threshold value can be provided by following equation [5]:

Threshold value=(1- peak value) × length [5]

In equation [5], length can be the length of data flow, can be expressed as multiple samples of ADC acquisition.Equation [4]-[5] only show a kind of exemplary method of determining full scale threshold value.

In operation 1006, data flow can be compared by computing device with the total head threshold value determined in operation 1004.Such as The quantity of full scale value in fruit data flow is not more than full scale threshold value, then computing device can be assessed in operation 1008. For example, computing device can execute other analyses of the signal chains of FFT or assessment as described in Figure 9.If expiring in data flow The quantity of range value is greater than full scale threshold value, then can be shown that ADC may have been received can expiring with precise discrete more than it The signal of range amplitude.Computing device can alert user 1010.For example, assessment tool 324 can be provided to client 302 Alert message can provide alarm by the assessment output data provided at UI 364.In some instances, assessment can To stop.In other examples, it although editing, can prompt the user whether to continue to assess.

Figure 11-15 shows the screenshot capture that can be supplied to user, for example, by UI 364, by assessment tool 324 And/or client 302, as described herein.For example, Figure 11 is an exemplary screenshot capture for showing assessment screen 1100.? In the example of Figure 11, assessment screen 1100 includes that component selects window 1102.In Figure 11, it includes group that component, which selects window 1102, Part classification field 1104, user can therefrom select component category.It can choose the component of any suitable class.When user selects When component category, product field 1106 may include the particular example of the component in selected classification.In some instances, pass through group The component that part selection window 1102 selects can be all or part of signal chains data of the signal chains to be assessed of description.

Figure 12 is another exemplary screenshot capture for showing the assessment screen 1100 with supplementary features.As shown in figure 12, Assessing screen 1100 may include various labels 1110,1112,1114,1116,1118, can be selected to access assessment work The function of tool 324.In the example for assessing screen 1100 shown in Figure 12, chart label 1110 is selected.For example, assessment screen 1100 may include chart field 1126, and it illustrates the figures for the component to be modeled.For example, in Figure 12, chart field 1126 Show the figure of ADC.In one example, chart field 1126 can show the signal chains to be modeled.

In the illustration in fig 12, assessment screen 110 further includes setting field 1120 and parameter field 1122,1124.Setting Field 1120 may include the control input for assessment.For example, setting field 1120 includes operation button, when the selection operation When button, client 302 can be prompted to pass through the starting assessment of assessment tool 324.Parameter field 1122,1124 may include being used for Receive the field of the value of various parameters.The parameter prompted at field 1122,1124 can pass through the parameter of configuration data Ji Chu Data describe selected component or signal chains.In one example, can by the binding data of configuration data Ji Chu come The special parameter prompted at field 1122,1124 is described.

Figure 13 is another exemplary screenshot capture for showing the assessment screen 1100 for having selected fft analysis label 1112.Figure Shape result field 1128 shows assessment output data comprising the graphical representation of the fft analysis of component.FFT points can be executed Analysis, for example, as herein in regard to described in Fig. 9-10.Numerical result field 1130 shows the various numerical results of fft analysis, Including for example with signal, noise and the related result of distortion.Figure 14 is to show the assessment screen for having selected waveform tabs 1114 1100 another exemplary screenshot capture.This can make to assess the assessment output data that the display of screen 1100 includes X-Y analysis, such as It is described herein.For example, in the example in figure 14, screenshot capture 1100 includes the graphic screen 1140 for showing example output signal.

Figure 15 is another exemplary screenshot capture for showing assessment screen 1100, wherein having selected next step tabs 1116.Following step field 1142 can be provided to other movable links that user can participate in, for example, with assessment One or more components are related.For example, printing assessment session button 1144 can be such that client 302 prints when selected And/or preservation is by least part information of the offers such as label 1110,1112,1114.Open data table button 1146, when by with When family selects, client 302 can be made to access the tables of data of assessed one or more components.Upon a selection of the user, it buys Button 1148 can make client 302 be linked to webpage, for example, can be with by web browser application 350 or user The other positions of the component of the one or more assessments of purchase, for example, being used alone or being used together with evaluation board.When user selects When, access product page button 1150 can be such that the load of web browser application 350 provides about one as assessment theme The webpage of the information of a or multiple components.When selected, help options card 1118 can be provided a user for using assessment The various offline and/or help on-line options of tool 324.

Figure 16 is the exemplary screenshot capture for showing another configuration of assessment screen of Figure 11 and 12.In the example of Figure 16 In, it is added to downloading data table button 1170 and purchase evaluation board button 1172.Upon a selection of the user, downloading data table button 1170 can make the load of web browser application 350 include the webpage of the tables of data of the component of one or more assessments.When by User select when, purchase evaluation board button 1172 can allow client 302 be linked to webpage or user individually or with comment Estimate the other positions that plate buys the component of one or more assessments together.In the example of Figure 16, its of screen 1100 is omitted Subsequent step tabs 1116 shown in his example.In the various examples, button 1170 and 1172 may include instead of subsequent Step tabs 1116 and/or other than subsequent step tabs 1116.In addition, although having selected FFT option in Figure 16 Card 1112, but in the various examples, when selecting various other labels 1110,1114,1118 etc., button 1170,1172 can To appear on screen 1100.

Figure 17 is an exemplary block diagram 1700 for showing the software architecture 1702 for computing device.Framework 1702 can be with It is used in combination with various hardware structures, for example, server 120, client computer 102 (1-N), 302 etc., for example, as described herein.Figure 17 are only the non-limiting example of software architecture 1702, and many other frameworks may be implemented to promote function described herein Energy.Representative hardware layer 1704 is shown, can indicate for example any of above computing device.In some instances, Ke Yigen Hardware layer 1704 is realized according to the framework 1702 of Figure 17 and/or the framework 1800 of Figure 18.

Representative hardware layer 1704 includes the one or more processors unit of associated executable instruction 1708 1706.Executable instruction 1708 indicates the executable instruction of software architecture 1702, method, module, component including Fig. 1-2 1 etc. Realization.Hardware layer 1704 further includes memory and/or memory module 1710, also has executable instruction 1708.Hardware layer 1704 can also include other hardware indicated by other hardware 1712, represent any other hardware of hardware layer 1704, example Other hardware as shown in a part as hardware structure 1800.

In the exemplary architecture of Figure 17, software architecture 1702 can be conceptualized as the storehouse of layer, wherein each layer of offer is special Determine function.For example, software architecture 1702 may include such as operating system 1714, library 1716, frame/middleware 1718, application The layer of program 1720 and expression layer 1744 etc.In operation, the other assemblies in application program 1720 and/or layer can be by soft Part storehouse calls API Calls 1724 and receives response, and return value, etc., the message 1726 of API Calls 1724 is shown in response Out.Shown in layer be substantially representative, and and not all software architecture all there are all layers.For example, some movements or Special purpose operating system may not provide frame/middleware layer 1718, and other operating systems can provide such layer.Other software Framework may include extra play or different layers.

Operating system 1714 can manage hardware resource and provide public service.Operating system 1714 may include for example interior Core 1728, server 1730 and driver 1732.Kernel 1728 can serve as the level of abstraction between hardware and other software layer. For example, kernel 1728 can be responsible for memory management, processor management (such as scheduling), assembly management, network, security setting Deng.Server 1730 can provide other public services for other software layer.In some instances, server 1730 includes interrupting Service.The service of interruption can detecte the reception of hardware or software interrupt, and in response, so that framework 1702 suspends it currently It handles and executes Interrupt Service Routine (ISR) when receiving interruption.As described herein, alarm can be generated in ISR.

Driver 1732 can be responsible for control or with bottom hardware interface.For example, driver 1732 may include that display is driven Dynamic device, camera driver,Driver, flash drive, serial communication driver (such as universal serial bus (USB) driver), Wi-Fi driver, NFC driver, audio driver, power management driver etc., be specifically dependent upon hard Part configuration.

Library 1716 can provide the common base knot that can be used by application program 1720 and/or other assemblies and/or layer Structure.Library 1716, which usually provides, allows other software module than directly with 1714 function of underlying operating system (for example, kernel 1728, server 1730 and/or driver 1732) mode of direct interface executes the function of task.Library 1716 may include being It unites library 1734 (for example, C java standard library), memory allocation function, string operation function, math function etc. can be provided Function.In addition, library 1716 may include API library 1736, such as media library (for example, be in for support various media formats Now with the library of manipulation, such as MPEG4, H.264, MP3, AAC, AMR, JPG, PNG), shape library is (for example, can be used in display On graphical content in present 2D and 9D OpenGL frame), data Kuku (such as, it is possible to provide various relation data library facilities SQLite), the library web (for example, the WebKit of internet browsing function can be provided) etc..Library 1716 can also include various other Library 1738, to provide many other API to application program 1720 and other software components/modules.

Frame 1718 (otherwise referred to as middleware) can provide can be by application program 1720 and/or other software group The common base structure for the higher level that part/module uses.For example, frame 1718 can provide various graphic user interfaces (GUI) function, advanced resource management, high-level position service etc..Frame 1718 can provide can by application program 1720 and/or Other API for the wide spectrum that other software components/modules use, some of them can be specific to specific operation system or platforms.

Application program 1720 includes built-in application program 1740 and/or third party application 1742.It is answered built in representativeness It may include but be not limited to contact application, browser application, book readers application journey with the example of program 1740 Sequence, location application, media application, message transmission application program and/or game application.Third party application 1742 may include any built-in application program 1740 and various other application programs.In particular example, by particular platform Supplier other than entity carry out third-party application 1742 ((for example, using Android^TMOr iOS^TMSoftware Development Tools The application program of packet (SDK) exploitation) it can be in Mobile operating system (such as iOS^TM、Android^TM、Phone Or other users computing device operating system) on the mobile software that runs.In this example, third-party application 1742 can call The API Calls 1724 provided by the Mobile operating system of such as operating system 1714, to promote function described herein.

Application program 1720 can use Built In Operating System function (for example, kernel 1728, server 1730 and/or drive Dynamic program 1732), library (for example, system 1734, API1736 and other libraries 1738) and frame/middleware 1718 create use Family interface with system user to interact.Alternately or in addition, in some systems, table can be passed through with the interaction of user Show that layer (such as expression layer 1744) occurs.In such systems, what applications/modules " logic " can be interacted with user answers It is separated with the aspect of procedures/modules.

Some software architectures utilize virtual machine.It is executed at one or more server computing machines for example, can use One or more virtual machines execute system described herein.In the example of Figure 17, this is shown by virtual machine 1748.Virtually Machine creates software environment, and wherein applications/modules can be executed as executing on hardware computing device.Virtual machine is by leading Machine operating system (operating system 1714) trustship, and generally but not always there is virtual machine monitor 1746, management is virtual The operation of machine 1748 and interface (i.e. operating system 1714) with host operating system.Software architecture is held in virtual machine 1748 Row, such as operating system 1750, library 1752, frame/middleware 1754, using 1756 and/or expression layer 1758.In virtual machine These software architecture layers executed in 1748 can be identical as previously described respective layer or can be different.

Figure 18 is the block diagram for showing computing device hardware structure 1800, wherein one group or series of instructions can be executed so that Machine executes the example of any method discussed in this article.For example, framework 1800 can be executed about the soft of Figure 17 description Part framework 1702.Framework 1800 can be used as autonomous device operation or can connect (for example, networking) to other machines.Joining In wet end administration, framework 1800 can be run in server-client network environment with the capacity of server or client machine, Or it can be used as the peer machines in equity (or distributed) network environment.Framework 1800 can be in personal computer (PC), tablet PC, a mixing flat board computer, set-top box (STB), personal digital assistant (PDA), mobile phone, the network equipment, network Router, interchanger or bridge or any machine for being able to carry out instruction (sequence or other) and specifying the machine operation to be performed It is realized in device.

Exemplary architecture 1800 includes processor unit 1802, processor unit 1802 include at least one processor (for example, Central processing unit (CPU), graphics processing unit (GPU) or both, processor core, calculate node etc.).Framework 1800 can be with Including main memory 1804 and static memory 1806, they communicate with one another via link 1808 (for example, bus).Framework 1800 It can also include 1814 (example of video display unit 1810, Alphanumeric Entry Device 1812 (for example, keyboard) and UI navigation equipment Such as, mouse).In some instances, video display unit 1810, input equipment 1812 and UI navigation equipment 1814 are integrated into touching It touches in panel type display.Framework 1800 can also comprise storage equipment 1816 (such as driving unit), signal generating device 1818 (such as loudspeaker), network interface device 1820 and one or more sensors (not shown), such as global positioning system (GPS) sensor, compass, accelerometer or other sensors.

In some instances, processor unit 1802 or other suitable hardware components can support hardware interrupts.Response In hardware interrupts, processor unit 1802 can suspend it and handle and execute ISR, for example, as described herein.

Storing equipment 1816 includes machine readable media 1822, is stored thereon with one or more groups of data structures and instruction 1824 (for example, softwares) are embodied or are used by any one or more of method described herein or function.Instruction 1824 It can also completely or at least partially reside in main memory 1804, static memory 1806 and/or processor unit 1802 It is interior, during being executed by framework 1800, there is main memory 1804, static memory 1806, and processor unit 1802 is also Constitute machine readable media.Being stored in the instruction at machine readable media 1822 may include for example for realizing software architecture 1702 instruction, for executing the instruction etc. of any feature described herein.

Although machine readable media 1822 is illustrated as single medium in this example, term " machine readable media " can be with Including the one or more instructions 1824 of storage single media or multiple media (for example, centralized or distributed database, and/ Or relevant cache and server).Term " machine readable media " should also be viewed as including that can store, encode or carry By machine execute instruction and make machine execute the disclosure any one or more of method or can store, encode or carry By these instruction uses or any tangible medium of associated data structure.Therefore, term " machine readable media " should be by It is considered as including but not limited to solid-state memory and optics and magnetic medium.The specific example of machine readable media includes non-easy The property lost memory, including but not limited to, as an example, semiconductor storage unit is (for example, electric programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM)) and flush memory device；Disk, such as internal hard drive and removable magnetic Disk；Magneto-optic disk；With CD-ROM and DVD-ROM disk.

Instruction 1824, which can also be utilized on communication network 1826 by network interface device 1820 using transmission medium, is permitted Any one of mostly well-known transport protocol (for example, hypertext transfer protocol (HTTP)) sends or receives.Communication The example of network includes LAN, WAN, internet, mobile telephone network, ordinary old style telephone (POTS) network and wireless data network Network (for example, Wi-Fi, 3G and 5G LTE/LTE-A or WiMAX network).Term " transmission medium " should be considered as including that can deposit Storage, coding carry any intangible medium of instruction executed by machine, and including digital or analog communication signal or other Intangible medium in order to this software communication.

It is discussed in detail above including the reference to attached drawing, attached drawing forms a part of detailed description.Attached drawing passes through diagram Mode is shown can be with specific example embodiment of the disclosure.These example embodiments are referred to herein as " example ". These examples may include the element other than those of showing or describing.However, the present inventor, which also contemplates, only provides institute The example for those of showing or describing element.Moreover, the present inventor also considers using those of shown or described element (or one A or many aspects) any combination or displaced example, or about particular example (or in terms of one or more), or close In other examples (or in terms of one or more) of shown and described herein.

If between this document and any document being incorporated by reference into using inconsistent, with the usage in this document Subject to.

In the publication, term "a" or "an" is common in the patent literature, including one or more than one, solely Stand on any other example or usage of "at least one" or " one or more ".In this document, term "or" is for indicating Nonexcludability, so that " A or B " includes " A but be not B ", " B but be not A " and " A and B ", indicate unless otherwise indicated.? Herein, term " includes " and " wherein " are used as the equivalent word of corresponding term " comprising " and " wherein ".In addition, being wanted in following right In asking, term " includes " and "comprising" are open, that is, in addition to the element listed after this term in the claims Except system, device, article, composition, formula or the technique of element be still considered to belong to the scope of the claims.This Outside, in following following claims, term " first ", " second " and " third " etc. are used only as marking, it is no intended to apply to its object Add numerical requirements.

Method example described herein can be at least partly machine or computer implemented.Some examples may include It codes the computer-readable medium or machine readable media with instruction, described instruction can be operated to configure electronic equipment to execute such as Method described in above example.The realization of this method may include code, such as microcode, assembler language code, higher Grade language codes etc..This category code may include the computer-readable instruction for executing various methods.Code can form calculating A part of machine program product.In addition, in this example, code can be tangibly stored in one or more volatibility, nonvolatile In property or non-volatile visible computer readable medium, such as during execution or in other times.These tangible computers can The example for reading medium can include but is not limited to hard disk, moveable magnetic disc, removable CD (such as compact disk and digital video Disk), tape, storage card or stick, random access memory (RAM), read-only memory (ROM) etc..Above description is intended to illustrate Property and not restrictive.For example, above-mentioned example (or in terms of one or more) can be in combination with one another.More than reading When description, such as other example embodiments can be used in those of ordinary skill in the art.Abstract is provided to meet 37C.F.R. § 1.72 (b), allow reader quickly to determine property disclosed in technology.Understanding when submission is that it is not used in explanation or limitation power The range or meaning that benefit requires.Moreover, various features can be combined to simplify the disclosure in being discussed in detail above. This is not necessarily to be construed as being intended to unclaimed open feature being essential for any claim.On the contrary, invention master Topic can be all features less than specifically disclosed example embodiment.Therefore, following following claims is as example or example Embodiment is incorporated into specific embodiment, wherein each claim itself is as individual example embodiment, and can It can be combined with each other with these expected example embodiments with various combinations or arrangement.Should with reference to appended claims and these The full scope of the equivalent that claim is assigned determines the scope of the present disclosure.

Example

Example 1 is the system for evaluation electronics, the system comprises: server computing device, including processor Unit simultaneously is configured as executing assessment application program, wherein it includes operation below that assessment application program, which is configured as executing: for The user application executed on user's computing device provides assessment user interface；From the user application and via institute State the instruction for the electronic component that user interface is received for assessment；The configuration data collection of the electronic component is accessed, wherein described Configuration data collection includes: the supplemental characteristic for describing one group of parameter of the electronic component；First parameter of characterising parameter collection and the The binding data of relationship between one mode input parameter；With the simulator data for the model for describing the electronic component；Extremely The configuration data collection is at least partly based on to assess the electronic component.

In example 2, the theme of example 1 is optionally included: wherein the configuration data collection further includes the first beam of description First beam data, first beam include the subset of the parameter of this group of parameter, wherein the assessment application program is additionally configured to hold Row includes operation below: determining that first beam has enabled；The component of the description user interface is provided with to the user Application field data are described, the value of the subset for receiving parameter.

In example 3, any one of example 1-2 or multinomial theme are optionally included: the wherein assessment application program Being additionally configured to execute includes operation below: signal chains data is received from the user application, wherein the signal chains Data describe the electronic component and analysis；Receive data flow；With starting analysis to generate assessment output number from the data flow According to.

In example 4, the theme of example 3 is optionally included: wherein the assessment output data includes the first model of description The draw data of output parameter and time.

In example 5, the theme of any one or more of example 3-4 is optionally included: the wherein assessment output Data include describing the frequency content data of the frequency content of the first model output parameters.

In example 6, the theme of any one or more of example 1-5 is optionally included: the wherein assessment application It includes operation below that program, which is additionally configured to execute: receiving first from the user application and via the user interface First value of parameter；The first value and binding data for being based at least partially on the first parameter generate the first mode input parameter The first value；The first value of the first mode input parameter is based at least partially on to start the model of the electronic component； Assessment output data is provided for being shown in the user interface with to the user application, wherein the assessment exports number According to the output for being based at least partially on the model.

In example 7, the theme of example 6 is optionally included: wherein Boot Model includes executing eXecute UML.

In example 8, the theme of any one or more in example 6-7 is optionally included: wherein Boot Model includes opening The dynamic physical model circuit communicated with the server computational device.

In example 9, the theme of any one or more in example 6-8 is optionally included: wherein journey is applied in the assessment It includes operation below that sequence, which is additionally configured to execute: receiving the data flow for describing the first model output parameters of the model；Extremely The first value for being at least partly based on first parameter selects a set of frequencies of first model output parameters spuious；And determination The spuious power of the spuious first frequency of this group of frequency, wherein the assessment output data includes that the description first frequency is spuious Power power data.

In example 10, the theme of example 9 is optionally included: wherein the electronic component is converter；It is wherein described It includes operation below that assessment application program, which is additionally configured to execute: receiving the stimulus signal for describing the stimulus signal of the model Data；It is deviated with the fundamental frequency and pre-converted for being based at least partially on the stimulus signal to determine that the first frequency is spuious.

In example 11, the theme of any one or more in example 9-10 is optionally included: the wherein electronic component It is converter；It includes operation below that wherein the assessment application program, which is additionally configured to execute: receiving and describes the model Stimulus signal stimulus signal data；The fundamental frequency of the stimulus signal is based at least partially on to determine that the first frequency is miscellaneous It dissipates；Determine that the spuious second frequency of this group of frequency is spuious with the fundamental frequency and multiplier that are based at least partially on the stimulus signal.

In example 12, the theme of any one or more in example 9-11 is optionally included: the wherein first frequency It is spuious to be located at the first Nyquist area；It includes operation below that wherein the assessment application program, which is additionally configured to execute: really The spuious second frequency of fixed this group of frequency is spuious, wherein spuious be equivalent to of the second frequency is displaced to second Nyquist The first frequency in area is spuious；Determine the spuious power ratio noise floor of the second frequency at least threshold quantity greatly；With by described The assessment output data is written in the spuious description of two frequencies.

In example 13, the theme of example 12 is optionally included: wherein the first frequency it is spuious be stimulus signal base Frequently, wherein it is the harmonic wave of the fundamental frequency that second is spuious；It includes following that wherein the assessment application program, which is additionally configured to execute, Operation: the first value for being based at least partially on this first parameter is spuious to generate in the first frequency by offset applications One offset is spuious；Determine that first offset is spuious spuious greater than described second；The assessment is written with by low frequency alarm data Output data.

In example 14, the theme of any one or more in example 6-13 is optionally included: the wherein assessment application It includes operation below that program, which is additionally configured to execute: receiving the data flow for describing the first model output parameters of the model； It determines and the ministry of electronics industry is corresponded to by the value of at least number of thresholds of first model output parameters of the description of data stream The full scale value of part；The assessment output data is written with by editing alarm data.

In example 15, the theme of any one or more in example 6-14 is optionally included: wherein electronic component is to turn Parallel operation, and wherein the first value of first parameter indicates the tuning word of the noise shaping feature of the first converter；Wherein It includes operation below that the assessment application program, which is additionally configured to execute: determining the ideal frequency range of the electronic component；It determines The tuning word is except the ideal frequency range；The assessment output data is written with by incorrect noise-shaped data.

Example 16 is a kind of method of assessment electronics component, this method comprises: being in user by server computational device The user application executed on computing device provides assessment user interface；It is applied by server computational device from the user Program and the instruction that the electronic component for assessment is received via the user interface；Described in being accessed by server computational device The configuration data collection of electronic component, wherein the configuration data collection includes: the parameter for describing one group of parameter of the electronic component Data；The binding data of relationship between first parameter of characterising parameter collection and the first mode input parameter；With the description electricity The simulator data of the model of subassembly；It is commented with the configuration data collection is based at least partially on by server computational device Estimate the electronic component.

In example 17, the theme of example 16 is optionally included: applying journey from the user by server computational device Sequence and the first value that the first parameter is received via the user interface；First is based at least partially on by server computational device The first value and binding data of parameter generate the first value of the first mode input parameter；At least by server computational device The first value of the first mode input parameter is based in part on to start the model of the electronic component；With pass through server meter It calculates device and provides assessment output data for being shown in the user interface to the user application, wherein the assessment is defeated Data are based at least partially on the output of the model out.

In example 18, the theme of any one or more in example 16-17 is optionally included: being calculated and is filled by server Set the data flow for receiving the first model output parameters for describing the model；It is based at least partially on by server computational device First value of first parameter selects a set of frequencies of first model output parameters spuious；It is filled with being calculated by server The power for determining that the spuious first frequency of this group of frequency is spuious is set, wherein the assessment output data includes describing first frequency The power data of the spuious power of rate.

Example 19 is a kind of machine readable media, including instruction thereon, when executed by a computing device, so that calculating dress Setting execution includes operation below: the user application to execute on user's computing device provides assessment user interface；From The user application and the instruction that the electronic component for assessment is received via the user interface；Access the ministry of electronics industry The configuration data collection of part, wherein the configuration data collection includes: the supplemental characteristic for describing one group of parameter of the electronic component；It retouches State the binding data of the relationship between the first parameter of parameter set and the first mode input parameter；With the description electronic component The simulator data of model；The electronic component is assessed with the configuration data collection is based at least partially on.

In example 20, the theme of example 19 is optionally included: instruction thereon makes to count when executed by a computing device It calculates device and executes the operation including following operation: receiving the first parameter from the user application and via the user interface The first value；The first value and binding data for being based at least partially on the first parameter generate the of the first mode input parameter One value；The first value of the first mode input parameter is based at least partially on to start the model of the electronic component；With to The user application provides assessment output data for being shown in the user interface, wherein the assessment is output data to It is at least partly based on the output of the model.

Claims

1. a kind of system for evaluation electronics, the system include:

Server computing device, including processor unit and be configured as execute assessment application program, wherein the assessment application It includes operation below that program, which is configured as executing:

User application to execute on user's computing device provides assessment user interface；

The instruction of the electronic component for assessment is received from the user application and via the user interface；

The configuration data collection of the electronic component is accessed, wherein the configuration data collection includes: the one of the description electronic component The supplemental characteristic of group parameter；The binding data of relationship between first parameter of characterising parameter collection and the first mode input parameter； With the simulator data for the model for describing the electronic component；With

The configuration data collection is based at least partially on to assess the electronic component.

2. system described in claim 1, wherein the configuration data collection further includes the first beam data for describing the first beam, this The subset of a branch of parameter including this group of parameter, wherein it includes behaviour below that the assessment application program, which is additionally configured to execute, Make:

Determine that first beam has enabled；With

The application field for providing the component of the description user interface to the user describes data, for receiving the subset of parameter Value.

3. any one of claims 1 or 2 or the multinomial system, wherein the assessment application program is additionally configured to execute Including operation below:

Signal chains data are received from the user application, wherein the signal chains data describe the electronic component and divide Analysis；

Receive data flow；With

Starting analysis is to generate assessment output data from the data flow.

4. system as claimed in claim 3, wherein the assessment output data includes the first model output parameters of description and time Draw data.

5. any one of claim 3 or 4 or the multinomial system, wherein the assessment output data includes the first mould of description The frequency content data of the frequency content of type output parameter.

6. any one of claims 1 to 5 or the multinomial system, wherein the assessment application program is additionally configured to execute Including operation below:

The first value of the first parameter is received from the user application and via the user interface；

The first value and binding data that are based at least partially on the first parameter generate the first value of the first mode input parameter；

The first value of the first mode input parameter is based at least partially on to start the model of the electronic component；With

Assessment output data is provided for being shown in the user interface to the user application, wherein the assessment exports Data are based at least partially on the output of the model.

7. system as claimed in claim 6, wherein Boot Model includes executing eXecute UML.

8. any one of claim 6 or 7 or the multinomial system, wherein Boot Model includes starting and the server meter Calculate the physical model circuit of device communication.

9. any one of claim 6 to 8 or the multinomial system, wherein the assessment application program is additionally configured to execute Including operation below:

Receive the data flow for describing the first model output parameters of the model；

The first value for being based at least partially on first parameter selects a set of frequencies of first model output parameters spuious； With

The spuious power of the spuious first frequency of this group of frequency is determined, wherein the assessment output data includes description described first The power data of the spuious power of frequency.

10. system as claimed in claim 9, wherein the electronic component is converter；With

It includes operation below that wherein the assessment application program, which is additionally configured to execute:

Receive the stimulus signal data for describing the stimulus signal of the model；With

The fundamental frequency and pre-converted for being based at least partially on the stimulus signal deviate to determine that the first frequency is spuious.

11. any one of claim 9 or 10 or the multinomial system, wherein the electronic component is converter；With

Receive the stimulus signal data for describing the stimulus signal of the model；

The fundamental frequency of the stimulus signal is based at least partially on to determine that the first frequency is spuious；With

Fundamental frequency and the multiplier of the stimulus signal are based at least partially on to determine that the spuious second frequency of this group of frequency is spuious.

12. any one of claim 9 to 11 or the multinomial system, wherein the first frequency it is spuious be located at first how Kui This special zone；With

Determine that the spuious second frequency of this group of frequency is spuious, wherein the second frequency it is spuious be equivalent to be displaced to described second how The first frequency in area of Qwest is spuious；

Determine the spuious power ratio noise floor of the second frequency at least threshold quantity greatly；With

The assessment output data is written into the spuious description of the second frequency.

13. system described in claim 12, wherein the first frequency it is spuious be stimulus signal fundamental frequency, wherein second is spuious It is the harmonic wave of the fundamental frequency；With

The first value for being based at least partially on this first parameter is spuious to generate first in the first frequency by offset applications It deviates spuious；

Determine that first offset is spuious spuious greater than described second；With

The assessment output data is written into low frequency alarm data.

14. any one of claim 6 to 13 or the multinomial system, wherein the assessment application program is additionally configured to hold Row includes operation below:

It determines and the electricity is corresponded to by the value of at least number of thresholds of first model output parameters of the description of data stream The full scale value of subassembly；With

The assessment output data is written into editing alarm data.

15. any one of claim 6 to 14 or the multinomial system, wherein electronic component is converter, and wherein institute State the tuning word of the noise shaping feature of the first value the first converter of instruction of the first parameter；With

Determine the ideal frequency range of the electronic component；

Determine the tuning word except the ideal frequency range；With

The assessment output data is written into incorrect noise-shaped data.

16. a kind of method of assessment electronics component, this method comprises:

User application by server computational device to execute on user's computing device provides assessment user interface；

The electronics for assessment is received by server computational device from the user application and via the user interface The instruction of component；

The configuration data collection of the electronic component is accessed by server computational device, wherein the configuration data collection includes: to retouch State the supplemental characteristic of one group of parameter of the electronic component；Between first parameter of characterising parameter collection and the first mode input parameter Relationship binding data；With the simulator data for the model for describing the electronic component；With

The configuration data collection is based at least partially on by server computational device to assess the electronic component.

17. method described in claim 16, further includes:

The first of the first parameter is received by server computational device from the user application and via the user interface Value；

The first value of the first parameter is based at least partially on by server computational device and binding data generates first mould First value of type input parameter；

The first value of the first mode input parameter is based at least partially on by server computational device to start the electricity The model of subassembly；With

Assessment output data is provided for being shown in user circle to the user application by server computational device Face, wherein the assessment output data is based at least partially on the output of the model.

18. any one of claim 16 or 17 or the multinomial method, further includes:

The data flow for describing the first model output parameters of the model is received by server computational device；

The first model output is selected by the first value that server computational device is based at least partially on first parameter A set of frequencies of parameter is spuious；With

The spuious power of the spuious first frequency of this group of frequency is determined by server computational device, wherein the assessment exports number According to the power data for including the spuious power of the description first frequency.

19. a kind of machine readable media, including instruction thereon, when executed by a computing device, so that computing device executes packet Include operation below:

20. medium described in claim 19 further includes instruction thereon, when executed by a computing device, so that computing device Execute includes operation below: