CN110784222A - ADC output curve generation method, device, equipment and medium - Google Patents
ADC output curve generation method, device, equipment and medium Download PDFInfo
- Publication number
- CN110784222A CN110784222A CN201911148182.6A CN201911148182A CN110784222A CN 110784222 A CN110784222 A CN 110784222A CN 201911148182 A CN201911148182 A CN 201911148182A CN 110784222 A CN110784222 A CN 110784222A
- Authority
- CN
- China
- Prior art keywords
- sampling
- signal
- data
- pulse signal
- input voltage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/124—Sampling or signal conditioning arrangements specially adapted for A/D converters
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Analogue/Digital Conversion (AREA)
Abstract
The embodiment of the application provides a method, a device, equipment and a medium for generating an ADC output curve, wherein an instantaneous pulse signal is sent to the ADC, an input voltage signal is sent to the ADC after a preset time interval, so that the ADC samples the instantaneous pulse signal and the input voltage signal in sequence to obtain first sampling data, a data section corresponding to the instantaneous pulse signal is determined from the first sampling data, a sampling point corresponding to a sampling point with the maximum amplitude value in the data section after the preset time interval is taken as a sampling starting point of the input voltage signal, after the sampling starting point is determined, the sampling voltage of each subsequent sampling point of the input voltage signal is determined based on the corresponding relation between the voltage and the time in the input voltage signal, the first sampling data is subjected to smoothing processing based on a window function, an output curve is generated based on second sampling data obtained by smoothing, and the embodiment of the application can accurately determine the voltage of the sampling point, and obtaining an accurate output curve.
Description
Technical Field
The embodiment of the application relates to the technical field of signal processing, in particular to a method, a device, equipment and a medium for generating an ADC output curve.
Background
An analog-to-digital converter (ADC) is used to convert a continuous-time and continuous-amplitude analog signal into a discrete-time and discrete-amplitude digital signal through 4 processes of sampling, holding, quantizing, and encoding. The sampling rate refers to the number of points collected within a unit time of the ADC. The analog-to-digital conversion process is shown in fig. 1 and fig. 2, fig. 1 is a waveform diagram of a ramp voltage signal sent by a signal generator (the period t2-t1 or t5-t4 of the ramp voltage signal, and the linear relationship between voltage and time can be set by the signal generator), and fig. 2 is a step-and-line diagram of "digital output value k-sampling point n" output by a 12-bit ADC (the sampling rate of the ADC can be set); when the voltage range of the ramp signal sent by the signal generator is 0-3.3V, the output value range of the ADC is 0-4095.
In daily ADC data analysis, it is necessary to obtain a specific voltage corresponding to each sampling point, and an accurate "voltage V-digital output value k" graph. In the prior art, different clocks are adopted by the ADC and the signal generator, so that the time correspondence between the sampling point of the ADC and the sampling signal is difficult to determine, and thus the specific voltage corresponding to each sampling point cannot be determined. In addition, in the conversion output process of the ADC, because of the influence of factors such as the accuracy of the ADC and the implementation environment, the sampling of the ADC usually has errors, and the output value of the ADC also has errors accordingly, so that an accurate "voltage V-digital output value k" graph cannot be obtained. Therefore, a method capable of generating an accurate "voltage V-digital output value k" graph based on the specific voltage corresponding to each sampling point is desired.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a medium for generating an ADC output curve, which are used for obtaining an accurate ADC output curve on the basis of accurately determining the sampling voltage of an ADC sampling point.
A first aspect of an embodiment of the present application provides a method for generating an ADC output curve, where the method includes:
receiving an analog signal input by a signal generating device, wherein the analog signal comprises an instantaneous pulse signal and an input voltage signal which is sent at a preset time interval after the instantaneous pulse signal; acquiring a corresponding relation between voltage and time in the input voltage signal, and acquiring first sampling data sampled by the ADC from the analog signal; determining a data segment corresponding to the instantaneous pulse signal from the first sampling data, and taking a sampling point corresponding to a sampling point with the maximum amplitude value in the data segment after the interval of the preset time as a sampling starting point of the input voltage signal; according to the corresponding relation, determining the sampling voltage of each sampling point of the input voltage signal after the sampling starting point; smoothing the first sampling data by adopting a window function to obtain second sampling data; and generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
In a possible embodiment, the determining, from the first sampled data, a data segment corresponding to the transient pulse signal includes: and determining a data segment of the first sampling data, wherein the amplitude jump range of the first sampling data is larger than a preset threshold value, and the signal duration of the first sampling data is smaller than or equal to the preset signal duration, as a data segment corresponding to the instantaneous pulse signal.
In a possible implementation manner, the smoothing the first sample data by using a window function to obtain second sample data includes:
based on the corresponding relation between the preset input signal waveform type and the window function, selecting the window function corresponding to the waveform type of the input voltage signal to carry out smoothing processing on the first sampling data to obtain third sampling data; and after the selected window function is determined, based on the corresponding relation between the type of the window function and the correction function, selecting the corresponding correction function to correct the sampling data of the sampling start point and the sampling end point in the third sampling data, so as to obtain the second sampling data.
In one possible embodiment, the input voltage signal is a ramp voltage signal.
In a possible embodiment, the transient pulse signal is any one of the following: a momentary rising pulse signal and a momentary falling pulse signal.
In one possible embodiment, the transient pulse signal is input into the ADC after the end of the previous input voltage signal.
A second aspect of the embodiments of the present application provides an output curve generating apparatus, including:
the receiving module is used for receiving an analog signal input by the signal generating device, wherein the analog signal comprises an instantaneous pulse signal and an input voltage signal which is sent at a preset time interval after the instantaneous pulse signal.
And the acquisition module is used for acquiring the corresponding relation between the voltage and the time in the input voltage signal and acquiring first sampling data sampled by the ADC from the analog signal.
And the first determining module is used for determining a data segment corresponding to the instantaneous pulse signal from the first sampling data, and taking a sampling point corresponding to a sampling point with the maximum amplitude in the data segment after the interval of the preset time as a sampling starting point of the input voltage signal.
And the second determining module is used for determining the sampling voltage of each sampling point of the input voltage signal after the sampling starting point according to the corresponding relation.
And the processing module is used for performing smoothing processing on the first sampling data by adopting a window function to obtain second sampling data.
And the generating module is used for generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
In one possible embodiment, the first determining module includes:
and the first determining submodule is used for determining a data segment, in the first sampling data, of which the amplitude jump range is larger than a preset threshold value and the signal duration is smaller than a preset signal duration, as a data segment corresponding to the instantaneous pulse signal.
In one possible embodiment, the first determining module includes:
and the second determining submodule is used for determining a data segment, of the first sampling data, of which the signal duration is less than or equal to a preset signal duration and the time interval with the next data segment is greater than or equal to the preset time, as the data segment corresponding to the instantaneous pulse signal.
In one possible implementation, the processing module includes:
and the first processing submodule is used for selecting a window function corresponding to the waveform type of the input voltage signal to carry out smoothing processing on the first sampling data based on the corresponding relation between the preset input signal waveform type and the window function so as to obtain third sampling data.
And the second processing submodule is used for selecting a corresponding correction function to correct the sampling data of the sampling start point and the sampling end point in the third sampling data based on the corresponding relation between the type of the window function and the correction function after the selected window function is determined, so that the second sampling data is obtained.
In one possible embodiment, the input voltage signal is a ramp voltage signal.
In a possible embodiment, the transient pulse signal is any one of the following: a momentary rising pulse signal and a momentary falling pulse signal.
In one possible embodiment, the transient pulse signal is input into the ADC after the end of the previous input voltage signal.
A third aspect of the embodiments of the present application provides an analog-to-digital converter, including a processor and a memory; the memory has stored therein instructions for performing the method of the first aspect when executed by the processor.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method according to the first aspect.
Based on the above aspects, the method, the apparatus, the device and the medium for generating the ADC output curve provided in the embodiments of the present application send the instantaneous pulse signal to the ADC, and then send the input voltage signal to the ADC after a preset time interval, so that the ADC sequentially samples the instantaneous pulse signal and the input voltage signal to obtain the first sampling data, because the duration of the instantaneous pulse signal is very short, the point with the maximum amplitude in the corresponding first sampling data is unique, and the sampling time of the sampling point can uniquely correspond to the sending time of the instantaneous pulse signal, so that after a data segment corresponding to the instantaneous pulse signal is determined from the first sampling data, the sampling point corresponding to the sampling point with the maximum amplitude in the data segment after the preset time interval can be used as the sampling start point of the input voltage signal, and then each sampling point of the input voltage signal after the sampling start point can be accurately determined according to the corresponding relationship between the voltage and the time in the input voltage signal And further, on the basis, the corresponding voltage is smoothed by adopting a window function, so that error data generated by the influence of factors such as environmental noise and the like in the first sampling data can be eliminated, more accurate second sampling data is obtained, and then an output curve with higher accuracy can be generated according to the second sampling data.
It should be understood that what is described in the summary section above is not intended to limit key or critical features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present disclosure will become apparent from the following description.
Drawings
FIG. 1 is a waveform diagram of a ramp voltage signal sent by a signal generator;
FIG. 2 is a step-and-line plot of "digital output value k-sample point n" output by a 12-bit ADC;
fig. 3 is a schematic view of a scenario of analog-to-digital conversion provided in an embodiment of the present application;
fig. 4 is a flowchart of a method for determining a sampling voltage at an ADC sampling point according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an exemplary analog signal;
FIG. 6 is a comparison of ideal and actual A/D conversion curves provided by embodiments of the present application;
FIG. 7 is a diagram illustrating a smoothing process using a window function according to an embodiment of the present disclosure;
fig. 8 is a flowchart of a method for generating an ADC output curve according to an embodiment of the present disclosure;
fig. 9 is a schematic diagram of a corresponding relationship between a digital output value k and a sampling point n obtained by the 12-bit ADC based on the analog signal shown in fig. 5;
fig. 10 is a flowchart of a method for generating an ADC output curve according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of an output curve generating apparatus according to an embodiment of the present application;
fig. 12 is a schematic structural diagram of a processing module 115 according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present application. It should be understood that the drawings and embodiments of the present application are for illustration purposes only and are not intended to limit the scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the embodiments of the application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 3 is a schematic diagram of an analog-to-digital conversion scenario provided by an embodiment of the present application, and for example, in the analog-to-digital conversion scenario of fig. 3, a signal generation device 11 and an ADC12 are included, where the signal generation device 11 is configured to generate an analog voltage signal and input the analog voltage signal to an ADC 12. The ADC12 receives the analog voltage signal input by the signal generating device 11, performs sampling, holding, quantizing, encoding, and other processing on the analog voltage signal, converts the analog voltage signal into a corresponding digital signal, and outputs a relationship curve between a corresponding voltage V and a digital output value k. Wherein, during the processing of the ADC12, the sampling and holding, the quantization and the encoding can be simultaneously implemented during the conversion.
To aid in understanding the present application, the sampling, holding, quantizing, and encoding processes of ADC12 are described below:
sampling: the amplitude of the analog voltage signal is extracted at fixed time intervals, and the amplitude of the acquired analog voltage signal is used as a sample value, wherein the shorter the time interval (or also referred to as a sampling interval) for extracting the amplitude of the analog voltage signal, the more the signal can be correctly reproduced. However, shortening the sampling interval causes an increase in the amount of data, and thus the sampling interval can be set as needed in practical applications.
Maintaining: in practice, a certain time is often required for converting the sampled signal into a digital signal, and in order to provide a stable value for the subsequent quantization encoding process, the amplitude of the sampled voltage signal must be maintained for a certain period of time, while the sampling and maintaining processes are generally performed simultaneously in the related art.
And (3) quantification: although a signal continuous on the time axis is converted into a discontinuous (discrete) signal by sampling, the amplitude of the voltage signal obtained by sampling is still a continuous value (analog quantity). In this case, the sample values may be divided at regular intervals in the amplitude direction, a section to which each sample value belongs may be determined, and a value stored in the section may be assigned to the sample value. The quantization process needs a certain time tau, and for analog voltage signals changing along with time, instantaneous sampling values are required to be kept unchanged within the time tau, so that the conversion correctness and conversion precision can be ensured, and the process is kept. With the hold process, the sampled signal is actually a step-like continuous function.
And (3) encoding: the process of converting the quantized signal into a binary number, i.e. representing the quantized signal by a combination of 0 and 1, is called encoding, "1" indicates the presence of a pulse, and "0" indicates the absence of a pulse. When the quantization levels are 64 levels, the number of binary digits representing these values must be 6 bits; when the quantization level is 256 levels, it must be represented by an 8-bit binary number.
However, because the ADC and the signal generating device use different clocks, the corresponding relationship between each sampling point of the ADC and a time point on the analog voltage signal is difficult to determine, and therefore a specific voltage corresponding to each sampling point cannot be determined, and further, because of the influence of factors such as the accuracy of the ADC and the implementation environment, sampling of the ADC usually has an error, and an output value of the ADC also has a corresponding error, so that the ADC cannot output an accurate "voltage V-digital output value k" graph.
In view of the above problems in the prior art, an embodiment of the present application provides a generation scheme of an ADC output curve, where an instantaneous pulse signal with a short duration is input to an ADC, and a voltage signal is input after the instantaneous pulse signal at a preset interval, and the instantaneous pulse signal has characteristics of concentrated energy and easy identification, so that a sampling point corresponding to the instantaneous pulse signal can be easily identified from sampling data of the ADC, and a sampling point corresponding to a point with a maximum amplitude at a preset interval can be used as a sampling start point of the input voltage signal, and further, after the sampling start point is determined, a sampling voltage of each sampling point of the input voltage signal after the sampling start point is determined according to a corresponding relationship between a voltage and a time in the input voltage signal. On the basis, in order to obtain an accurate relation curve of the voltage V-digital output value k, the embodiment of the application further performs smoothing processing on the sampling data acquired by the ADC through a window function, and generates the relation curve of the voltage V-digital output value k according to the sampling data after smoothing processing and the sampling voltage corresponding to each obtained sampling point.
The scheme of the embodiment of the application is explained in detail in the following with the exemplary embodiment.
Fig. 4 is a flowchart of a method for determining a sampling voltage at an ADC sampling point according to an embodiment of the present application, where as shown in fig. 4, the method includes:
Illustratively, FIG. 5 is a schematic diagram of an exemplary analog signal. The analog signal includes an input voltage signal and a transient pulse signal, wherein the input voltage signal is embodied as a ramp voltage signal in fig. 5. The ramp voltage signal is a voltage signal with a certain slope which linearly increases from zero to a certain amplitude along with time. The linear relationship of the mathematical function representation of the input voltage V and the time t of the input voltage signal is preset, and the sampling of a ramp voltage signal is performed before the signal generating device sends the ramp voltage signal. Since the entire ramp voltage signal needs to be sampled, the sampling start time is usually earlier than the time of sending the ramp voltage signal, so that a plurality of sampling points with voltage values of 0 are provided before the sampling point corresponding to the start point of the ramp voltage signal, and if the sampling start point is regarded as the point with voltage value of 0, it cannot be determined which sampling point of the plurality of sampling points with voltage values of 0 is the sampling point actually corresponding to the start point of the ramp voltage signal.
The signal generating device is set to transmit an instantaneous pulse signal before each time of transmitting the ramp voltage signal (the time interval is t1 minus t0), wherein the relationship between the input voltage value V and the time t of the ramp voltage signal can be expressed by a mathematical function, and the latter instantaneous pulse signal is transmitted after the former ramp voltage signal is recovered (i.e. t4> t3), namely the instantaneous pulse signal is set to be transmitted again after each input voltage signal reaches the maximum voltage value and then recovers to zero (the time interval is t4 minus t 3). The time interval t4 minus t0 is the transmission period of a transient pulse signal. The instantaneous pulse signal is a signal which is continuously sent at a certain time interval according to a certain voltage amplitude, the duration of the instantaneous pulse signal is less than or equal to the duration of a preset signal, the duration of the preset signal is set to be as short as possible so as to quickly and accurately detect the instantaneous pulse signal which jumps greatly, and the sampling points corresponding to the instantaneous pulse signal sending time plus the time interval t1 minus t0 are used as the sampling starting points of the ramp voltage signal, so that the voltage value corresponding to each sampling point of the subsequent ramp voltage signal can be accurately determined according to the sampling starting points.
The instantaneous pulse signal can be an instantaneous rising or instantaneous falling pulse signal, namely the amplitude of the pulse signal can be a positive voltage value which jumps instantly and greatly, or a negative voltage value which jumps instantly and greatly, and the maximum jump value of the amplitude can be quickly detected to determine the sending time point of the signal no matter the positive voltage value or the negative voltage value is positive or negative. For example, in this embodiment, the transient pulse signal may be exemplarily understood as a unit impulse signal, where the unit impulse signal is an ideal signal with infinite duration and infinite instantaneous amplitude, and covering a constant area of 1; or may be exemplarily understood as other rectangular pulses or triangular pulses with short duration and large amplitude, etc., as long as the pulse signals with short duration and amplitude jumping range larger than the preset threshold value in short time are satisfied.
Of course, fig. 5 is only an exemplary analog signal and is not the only limitation of what is referred to herein as an analog signal.
The correspondence between the voltage and the time in the input voltage signal referred to in the present embodiment may be exemplarily understood as being stored in a storage medium in advance, and the correspondence between the voltage and the time of the input voltage signal is acquired from the storage medium when the method of the present embodiment is executed.
In this embodiment, before the analog signal (including the transient pulse signal and the input voltage signal) is input to the ADC, the ADC starts sampling at a constant sampling frequency, so that after the analog signal of one cycle is input, the data sampled by the ADC includes the sampling data corresponding to the transient pulse signal and the sampling data corresponding to the input voltage signal.
The instantaneous pulse signal has the characteristics of short duration, concentrated energy, violent amplitude jump in a short time and the like, so that data which accords with the characteristics of the instantaneous pulse signal can be determined from the sampling data of the ADC as a data section corresponding to the instantaneous pulse signal according to the characteristics of the instantaneous pulse signal, the sampling time of a sampling point with the maximum amplitude in the data section plus the preset time can be regarded as the sending time of the input voltage signal, and the sampling point corresponding to the sending time of the input voltage signal is regarded as the sampling starting point of the input voltage signal.
And 404, determining the sampling voltage of each sampling point of the input voltage signal after the sampling starting point according to the corresponding relation.
Still taking fig. 5 as an example, since the time interval between the transient pulse signal and the ramp voltage signal (t1 minus t0), the period of the ramp voltage signal (t2 minus t1), and the linear relationship between the voltage and the time in the ramp voltage signal (t2 minus t0) can be preset, the voltage value corresponding to each time t in the range of (t2 minus t0) can be determined; in addition, since the sampling frequency of the ADC can be set, the sampling point n0 of the transient pulse signal (i.e. the point corresponding to the sampling time t0) can be calculated according to the sampling frequency, so that the time interval from each point of the input voltage signal to the sampling point n0, that is, the time interval is within the range of (t2 minus t0), and thus the specific voltage value corresponding to each ADC sampling point can be determined. The sampling rate or sampling frequency (sampling frequency) defines the number of samples extracted from a continuous signal per second and forming a discrete signal, and the sampling frequency is usually referred to as how many signal samples are collected by a computer per second. The sampling frequency of the ADC can be set to be larger to more easily acquire the large-amplitude jump data segment of the transient pulse signal.
Of course, this embodiment is only illustrated by way of example in fig. 5, and is not the only limitation of the present application.
And 405, smoothing the first sampling data by using a window function to obtain second sampling data.
As mentioned above, error data may exist in the sampling data of the ADC due to the ADC precision and noise interference, and although the previous part of this embodiment determines the sampling start point of the input voltage signal and the sampling voltage of each sampling point after the sampling start point by adding the transient pulse signal, the error data in the sampling data is not processed, and the error data may cause a deviation between the "voltage V-digital output value k" graph output by the ADC and the actual "voltage V-digital output value k" graph. Specifically, fig. 6 is a comparison graph of an ideal a/D conversion curve and an actual a/D conversion curve provided in the embodiment of the present application, and as shown in fig. 6, the ideal a/D conversion curve is a stepped polygonal line which is up and down around an input curve (such as the ramp voltage signal in fig. 5) as a center. The up-and-down fluctuating central line of the actual sampling curve does not coincide with the ideal sampling curve, and a deviation E exists
T. As a result, the actual a/D conversion curve cannot completely reflect the one-to-one correspondence relationship between the input voltage of the analog-to-digital conversion and the binary number after the conversion, which affects the a/D conversion accuracy, resulting in inaccuracy of the a/D conversion result. The related art has considered that the cause of such a deviation is that the amplitude of the signal before quantization differs from the amplitude of the signal after quantizationThis difference will appear as noise when the signal is reproduced. In order to reduce such noise, the related art generally reduces the interval between steps in quantization. However, decreasing the quantization interval causes an increase in the number of steps, resulting in an increase in the amount of data. In order to reduce the influence of error data on the output result and avoid the increase of data amount, in this embodiment, after the sampling voltage of the sampling point corresponding to the input voltage signal is obtained, the first sampling data acquired by the ADC from the input voltage signal is smoothed through the window function, so that the error data in the first sampling data is smoothed, and the more accurate second sampling data is obtained.
In this embodiment, the window function is used to reduce the spectral energy leakage, and different clipping functions may be used to clip the signal, where the clipping function is called window function, or window for short. When the signal is truncated, only a certain length of the signal can be truncated, even if the original signal is infinitely long, and therefore it seems that such truncation is performed by a "window" (rather like a "box"). Windowing is essentially the process of multiplying a signal (which may be a time domain signal or a frequency domain signal) by a window function, so that the multiplied signal better satisfies the requirements of a signal transform (e.g., fourier transform). The time-domain shape and frequency-domain characteristics of the different window functions are not the same. The main differences between the spectral characteristics of the various window functions are: main lobe width (also called effective noise bandwidth, ENBW), amplitude distortion, peak sidelobe height, and sidelobe decay rate. The main purpose of windowing is to use a relatively smooth window function to perform unequal weighting on the truncated signal, so that the abrupt change of the truncated signal becomes smooth, thereby reducing the side lobe of the spectral window. Because the leakage amount of the side lobe is maximum, the leakage of the side lobe is reduced correspondingly. Different window functions have different spectral characteristics. The main lobe width mainly affects the signal energy distribution and the frequency resolving power. The actual resolution of the frequency is the effective noise bandwidth multiplied by the frequency resolution, so the wider the main lobe, the wider the effective noise bandwidth, and the poorer the resolution of the frequency for the same frequency resolution. The level of the side lobe and its attenuation rate affect the degree of energy leakage (spectral smearing). Higher sidelobes indicate more energy leakage, slower fading, and more spectral smearing. When a window function is added, the width of a main lobe of a window function frequency spectrum should be as narrow as possible so as to obtain high frequency resolution capability; the side lobe attenuation should be as large as possible to reduce spectral smearing, but both requirements are generally not met simultaneously. The difference between the various window functions is mainly the ratio between the energy concentrated in the main lobe and the energy scattered in all the side lobes. The choice of the window function depends on the target of the analysis and the type of signal being analyzed. In general, the wider the effective noise band, the poorer the frequency resolution, and the more difficult it is to discriminate between adjacent frequencies of the same amplitude. The increase in selectivity (i.e., the ability to resolve weak components adjacent to the frequency of the strong component) is related to the decay rate of the side lobes. The effective noise bandwidth of the window function is narrow, and the attenuation rate of the side lobe is low, so the window function is selected as a compromise between the two.
In this embodiment, when the window function is used to smooth the first sample data, a window function corresponding to the waveform type of the input voltage signal may be selected to smooth the first sample data based on a preset corresponding relationship between the waveform type of the input signal and the window function, where the corresponding relationship between the waveform type of the input signal and the window function is used to indicate a relationship between the waveform type of the input signal and the optimal window function, and the window function in the corresponding relationship is used to process the sample data of the input signal of the corresponding type, so that an optimal smoothing effect may be obtained. The window functions that can be selected by the smoothing process in this embodiment include the following: blackman windows, Hanning windows, Hamming windows, flat-top windows, Cather windows, triangular windows, rectangular windows.
In an example, it is considered that in this embodiment, data of a sampling start point and a sampling end point are uniquely determined, and there is no error influence, and the window function processes not only sampling points with errors, but also sampling start points and sampling end points without errors, so that the originally correct data of the sampling start point and the sampling end point is erroneous, and therefore, after the window function is used to smooth the first sampling data, the data of the sampling start point and the sampling end point needs to be corrected. The specific correction method may include: after the first sampling data is subjected to smoothing processing by adopting a window function to obtain third sampling data, based on the corresponding relation between the type of the window function and the correction function, the corresponding correction function is selected to carry out correction processing on the sampling data of the sampling start point and the sampling end point in the third sampling data to obtain second sampling data. The correspondence between the type of the window function and the correction function in this embodiment may be preset as required.
For example, fig. 7 is a schematic diagram of a smoothing process using a window function according to an embodiment of the present application, in the processing scenario shown in fig. 7, a signal generation device transmits a complete ramp voltage signal at a time, an ADC performs sampling before the signal generation device transmits the ramp voltage signal, and the ADC finishes sampling after the signal generation device transmits the complete ramp voltage signal to obtain complete sampling data (the sampling data is a continuous linear voltage signal). Due to the fact that errors exist in sampling data obtained by sampling the ramp voltage signal through noise interference, the sampling data need to be smoothed through a window function to remove most of noise, and accurate sampling data are obtained. After the windowing function is processed, in a sampling period, because errors are introduced into data of a sampling start point and a sampling end point of the window function, corresponding correction functions are required to be selected according to the type setting of the window function to correct the data of the sampling start point and the sampling end point, and the smooth and corrected sampling data are subjected to quantization processing, so that the decision level of the sampling data can be obviously obtained, and an A/D conversion curve close to a theoretical value is obtained.
And 406, generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
In the embodiment, the instantaneous pulse signal is sent to the ADC, and then the input voltage signal is sent to the ADC after a preset time interval, so that the ADC sequentially samples the instantaneous pulse signal and the input voltage signal to obtain the first sampling data, because the duration of the instantaneous pulse signal is very short, the point with the maximum amplitude in the corresponding first sampling data is unique, and the sampling time of the sampling point can uniquely correspond to the sending time of the instantaneous pulse signal, so that after a data segment corresponding to the instantaneous pulse signal is determined from the first sampling data, the sampling point corresponding to the sampling point with the maximum amplitude in the data segment after the preset time interval can be used as the sampling starting point of the input voltage signal, and further, the voltage corresponding to each sampling point of the input voltage signal after the sampling starting point can be accurately determined according to the corresponding relationship between the voltage and the time in the input voltage signal, further, on the basis, error data generated due to the influence of factors such as environmental noise in the first sampling data can be eliminated by performing smoothing processing on the first sampling data through a window function, so that more accurate second sampling data is obtained, and an output curve with higher accuracy can be generated according to the second sampling data.
Fig. 8 is a flowchart of a method for generating an ADC output curve according to an embodiment of the present application, where as shown in fig. 8, the method includes:
And step 802, acquiring a corresponding relation between voltage and time in the input voltage signal, and acquiring first sampling data sampled from the analog signal by the ADC.
And 803, determining a data segment of the first sampling data, in which the amplitude jump range is greater than a preset threshold and the signal duration is less than or equal to a preset signal duration, as a data segment corresponding to the instantaneous pulse signal, and taking a sampling point corresponding to a sampling point with the maximum amplitude in the data segment after the interval of the preset time as a sampling starting point of the input voltage signal.
For example, fig. 9 is a schematic diagram of a corresponding relationship between a digital output value k and a sampling point n obtained by a 12-bit ADC based on an analog signal shown in fig. 5, as shown in fig. 9, after the ADC finishes sampling, analyzing sampling data obtained by the ADC, locking a data segment (e.g., 0, 5, 600, 4, 0) in which a transition range of the digital output value occurs in a short time (the time is less than or equal to a preset signal duration) and a sampling point with the maximum amplitude in the data segment range is set as a sampling point n0 of an instantaneous pulse signal, according to the ADC principle and by referring to fig. 5, at this time, a time point corresponding to the sampling point n0 of the instantaneous pulse signal, i.e., a time t0 at which the instantaneous pulse signal is sent, a sampling point corresponding to the sampling point n0 after a preset time interval t1-t0 is used as a sampling point of a ramp voltage signal, and according to a corresponding relationship between a voltage and a time, the sampling voltage corresponding to each sampling point after the sampling start point of the ramp voltage signal can be determined.
Of course, fig. 9 is merely illustrative and not the only limitation on the ADC input signal.
According to the characteristics of short duration, concentrated energy and large amplitude jump range in a short time, the data section corresponding to the instantaneous pulse signal can be rapidly and accurately determined, the sampling point corresponding to the point with the maximum amplitude in the data section after a preset time interval is taken as the sampling starting point of the ramp voltage signal, and the corresponding relation between the sampling starting point and the original analog signal can be accurately and uniquely determined, so that the sampling voltage corresponding to each subsequent sampling point of the ramp voltage signal can be accurately obtained according to the sampling starting point.
And step 804, determining the sampling voltage of each sampling point of the input voltage signal after the sampling start point according to the corresponding relation.
And 805, performing smoothing processing on the first sampling data by using a window function to obtain second sampling data.
And 806, generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
The beneficial effects of this embodiment are similar to those of the embodiment of fig. 4, and are not described herein again.
Fig. 10 is a flowchart of a method for generating an ADC output curve according to an embodiment of the present application, where as shown in fig. 10, the method includes:
As shown in fig. 5, the duration of the transient pulse signal and the time interval (t1 minus t0) between the transient pulse signal and the input voltage signal can be preset, so that, when analyzing the sampled data of the ADC, if there are consecutive data segments, the duration of the data segment is less than or equal to the preset signal duration, and the interval between the data segment and the next continuous data segment is greater than or equal to the preset time interval between the transient pulse signal and the input voltage signal (t1 minus t0), the data segment can be judged as the sampling data of the transient pulse signal, wherein, the time corresponding to the point with the maximum amplitude value is the sending time of the instantaneous pulse signal, the sampling point corresponding to the point after the interval of preset time is taken as the sampling starting point of the input voltage signal, and determining the sampling voltage of each subsequent sampling point of the input voltage signal according to the sampling starting point. It is understood that this is by way of illustration and not by way of limitation.
According to the embodiment, the data segment corresponding to the instantaneous pulse signal is determined from the sampling data of the ADC according to the characteristics that the pulse signal duration is short and the interval between the pulse signal duration and the input voltage signal is preset, so that the sampling point n0 corresponding to the sending time t0 of the instantaneous pulse signal can be quickly and accurately determined according to the data segment, and the sampling point corresponding to the sampling point n0 after the interval between the sampling point n 1 and the sampling point t0 is used as the sampling starting point of the input voltage signal, so that the problem that the corresponding relation between the sampling starting point and the analog signal cannot be accurately determined in the prior art is solved.
And 1004, determining the sampling voltage of each sampling point of the input voltage signal after the sampling start point according to the corresponding relation.
And 1005, performing smoothing processing on the first sampling data by using a window function to obtain second sampling data.
And 1006, generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
The beneficial effects of this embodiment are similar to those of the embodiment of fig. 4, and are not described herein again.
Fig. 11 is a schematic structural diagram of an output curve generating apparatus according to an embodiment of the present application, and as shown in fig. 11, the apparatus 110 includes:
the receiving module 111 is configured to receive an analog signal input by the signal generating device, where the analog signal includes a transient pulse signal and an input voltage signal transmitted at a preset time interval after the transient pulse signal.
The obtaining module 112 is configured to obtain a corresponding relationship between a voltage and time in the input voltage signal, and obtain first sampling data sampled by the ADC from the analog signal.
The first determining module 113 is configured to determine a data segment corresponding to the instantaneous pulse signal from the first sampling data, and use a sampling point corresponding to a sampling point with a maximum amplitude spaced by the preset time in the data segment as a sampling start point of the input voltage signal.
And a second determining module 114, configured to determine, according to the corresponding relationship, a sampling voltage of each sampling point of the input voltage signal after the sampling start point.
And the processing module 115 is configured to perform smoothing processing on the first sample data by using a window function to obtain second sample data.
And a generating module 116, configured to generate an output curve based on the second sampling data and the sampling voltages corresponding to the sampling points.
In one possible embodiment, the first determining module includes:
and the first determining submodule is used for determining a data segment, in the first sampling data, of which the amplitude jump range is larger than a preset threshold value and the signal duration is smaller than a preset signal duration, as a data segment corresponding to the instantaneous pulse signal.
In one possible embodiment, the first determining module includes:
and the second determining submodule is used for determining a data segment, of the first sampling data, of which the signal duration is less than or equal to a preset signal duration and the time interval with the next data segment is greater than or equal to the preset time, as the data segment corresponding to the instantaneous pulse signal.
For example, fig. 12 is a schematic structural diagram of a processing module 115 provided in an embodiment of the present application, and as shown in fig. 5, in a possible implementation, the processing module 115 includes:
the first processing submodule 1151 is configured to select a window function corresponding to a waveform type of the input voltage signal to perform smoothing processing on the first sample data based on a preset correspondence between a waveform type of the input signal and the window function, so as to obtain third sample data.
The second processing sub-module 1152 is configured to, after the selected window function is determined, select a corresponding correction function to perform correction processing on the sample data of the sampling start point and the sampling end point in the third sample data based on a correspondence between the type of the window function and the correction function, so as to obtain the second sample data.
In one possible embodiment, the input voltage signal is a ramp voltage signal.
In a possible embodiment, the transient pulse signal is any one of the following: a momentary rising pulse signal and a momentary falling pulse signal.
In one possible embodiment, the transient pulse signal is input into the ADC after the end of the previous input voltage signal.
The apparatus provided in this embodiment is capable of performing the method of the foregoing method embodiment, and the performing manner and beneficial effects thereof are similar to those of the foregoing embodiment, and are not described herein again.
The embodiment of the application also provides an analog-to-digital converter, which comprises a processor and a memory; the memory has stored therein instructions for performing the method of any of the above embodiments when executed by the processor.
The embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method described in any of the above embodiments.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a load programmable logic device (CPLD), and the like.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (15)
1. A method of generating an ADC output curve, the method comprising:
receiving an analog signal input by a signal generating device, wherein the analog signal comprises an instantaneous pulse signal and an input voltage signal which is sent at a preset time interval after the instantaneous pulse signal;
acquiring a corresponding relation between voltage and time in the input voltage signal, and acquiring first sampling data sampled by the ADC from the analog signal;
determining a data segment corresponding to the instantaneous pulse signal from the first sampling data, and taking a sampling point corresponding to a sampling point with the maximum amplitude value in the data segment after the interval of the preset time as a sampling starting point of the input voltage signal;
according to the corresponding relation, determining the sampling voltage of each sampling point of the input voltage signal after the sampling starting point;
smoothing the first sampling data by adopting a window function to obtain second sampling data;
and generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
2. The method of claim 1, wherein said determining a data segment corresponding to the transient pulse signal from the first sampled data comprises:
and determining a data segment of the first sampling data, wherein the amplitude jump range of the first sampling data is larger than a preset threshold value, and the signal duration of the first sampling data is smaller than or equal to the preset signal duration, as a data segment corresponding to the instantaneous pulse signal.
3. The method of claim 1, wherein smoothing the first sampled data with a window function to obtain second sampled data comprises:
based on the corresponding relation between the preset input signal waveform type and the window function, selecting the window function corresponding to the waveform type of the input voltage signal to carry out smoothing processing on the first sampling data to obtain third sampling data;
and after the selected window function is determined, based on the corresponding relation between the type of the window function and the correction function, selecting the corresponding correction function to correct the sampling data of the sampling start point and the sampling end point in the third sampling data, so as to obtain the second sampling data.
4. The method of any of claims 1-3, wherein the input voltage signal is a ramp voltage signal.
5. A method according to any of claims 1-3, characterized in that the transient pulse signal is any of the following:
a momentary rising pulse signal and a momentary falling pulse signal.
6. The method of claim 5, wherein the transient pulse signal is input into the ADC after the previous input voltage signal is over.
7. An output curve generation apparatus, comprising:
the receiving module is used for receiving an analog signal input by the signal generating equipment, wherein the analog signal comprises an instantaneous pulse signal and an input voltage signal which is sent at a preset time interval after the instantaneous pulse signal;
the acquisition module is used for acquiring the corresponding relation between the voltage and the time in the input voltage signal and acquiring first sampling data sampled by the ADC from the analog signal;
the first determining module is used for determining a data segment corresponding to the instantaneous pulse signal from the first sampling data, and taking a sampling point corresponding to a sampling point with the maximum amplitude in the data segment after the interval of the preset time as a sampling starting point of the input voltage signal;
the second determining module is used for determining the sampling voltage of each sampling point of the input voltage signal after the sampling starting point according to the corresponding relation;
the processing module is used for carrying out smoothing processing on the first sampling data by adopting a window function to obtain second sampling data;
and the generating module is used for generating an output curve based on the second sampling data and the sampling voltage corresponding to each sampling point.
8. The apparatus of claim 7, wherein the first determining module comprises:
and the first determining submodule is used for determining a data segment, in the first sampling data, of which the amplitude jump range is larger than a preset threshold value and the signal duration is smaller than a preset signal duration, as a data segment corresponding to the instantaneous pulse signal.
9. The apparatus of claim 7, wherein the first determining module comprises:
and the second determining submodule is used for determining a data segment, of the first sampling data, of which the signal duration is less than or equal to a preset signal duration and the time interval with the next data segment is greater than or equal to the preset time, as the data segment corresponding to the instantaneous pulse signal.
10. The apparatus of claim 7, wherein the processing module comprises:
the first processing submodule is used for selecting a window function corresponding to the waveform type of the input voltage signal to carry out smoothing processing on the first sampling data to obtain third sampling data based on the corresponding relation between the preset input signal waveform type and the window function;
and the second processing submodule is used for selecting a corresponding correction function to correct the sampling data of the sampling start point and the sampling end point in the third sampling data based on the corresponding relation between the type of the window function and the correction function after the selected window function is determined, so that the second sampling data is obtained.
11. The apparatus of any of claims 7-10, wherein the input voltage signal is a ramp voltage signal.
12. The apparatus according to any one of claims 7-10, wherein the transient pulse signal is any one of:
a momentary rising pulse signal and a momentary falling pulse signal.
13. The apparatus of claim 12, wherein the transient pulse signal is input into the ADC after the previous input voltage signal is over.
14. An analog-to-digital converter comprising a processor and a memory;
the memory has stored therein instructions to perform the method of any of claims 1-6 when executed by the processor.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911148182.6A CN110784222A (en) | 2019-11-21 | 2019-11-21 | ADC output curve generation method, device, equipment and medium |
| CN202310163404.1A CN116388761B (en) | 2019-11-21 | 2019-11-21 | Analog-to-digital converter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911148182.6A CN110784222A (en) | 2019-11-21 | 2019-11-21 | ADC output curve generation method, device, equipment and medium |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310163404.1A Division CN116388761B (en) | 2019-11-21 | 2019-11-21 | Analog-to-digital converter |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110784222A true CN110784222A (en) | 2020-02-11 |
Family
ID=69392267
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911148182.6A Pending CN110784222A (en) | 2019-11-21 | 2019-11-21 | ADC output curve generation method, device, equipment and medium |
| CN202310163404.1A Active CN116388761B (en) | 2019-11-21 | 2019-11-21 | Analog-to-digital converter |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310163404.1A Active CN116388761B (en) | 2019-11-21 | 2019-11-21 | Analog-to-digital converter |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110784222A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115189763A (en) * | 2022-07-12 | 2022-10-14 | 安徽问天量子科技股份有限公司 | TDC (time-to-digital converter) -based quantum pulse interception method and quantum key distribution system |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118399959B (en) * | 2024-06-28 | 2024-08-23 | 西安欣创电子技术有限公司 | Data processing method of system function, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101022566A (en) * | 2007-03-12 | 2007-08-22 | 无锡市晶源微电子有限公司 | Analogue video signal processing circuit testing method |
| CN103278235A (en) * | 2013-06-03 | 2013-09-04 | 合肥伟博测控科技有限公司 | Novel transient oscillation signal angular domain order tracking sampling and analytical method |
| CN105686827A (en) * | 2016-03-22 | 2016-06-22 | 浙江大学 | Microcontroller based electromyogram signal processing and feature extraction method |
| CN108809272A (en) * | 2018-03-20 | 2018-11-13 | 北京理工大学 | Multinomial kalman filter method and filter |
| CN109633253A (en) * | 2018-12-07 | 2019-04-16 | 中电科仪器仪表(安徽)有限公司 | One kind realizing voltage transient signal deteching circuit and method based on FPGA |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7528756B2 (en) * | 2007-03-22 | 2009-05-05 | Vns Portfolio Llc | Analog-to-digital converter system with increased sampling frequency |
| US8587463B2 (en) * | 2010-08-16 | 2013-11-19 | The Regents Of The University Of California | Signal statistics and compression-based analog-to-digital converters |
| CN102868403B (en) * | 2012-09-18 | 2016-06-01 | 上海航天测控通信研究所 | A kind of test macro testing analog to digital converter salient features index |
| US10833693B2 (en) * | 2015-05-29 | 2020-11-10 | Telefonaktiebolaget Lm Ericsson (Publ) | Time-interleaved analog-to-digital converter system |
-
2019
- 2019-11-21 CN CN201911148182.6A patent/CN110784222A/en active Pending
- 2019-11-21 CN CN202310163404.1A patent/CN116388761B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101022566A (en) * | 2007-03-12 | 2007-08-22 | 无锡市晶源微电子有限公司 | Analogue video signal processing circuit testing method |
| CN103278235A (en) * | 2013-06-03 | 2013-09-04 | 合肥伟博测控科技有限公司 | Novel transient oscillation signal angular domain order tracking sampling and analytical method |
| CN105686827A (en) * | 2016-03-22 | 2016-06-22 | 浙江大学 | Microcontroller based electromyogram signal processing and feature extraction method |
| CN108809272A (en) * | 2018-03-20 | 2018-11-13 | 北京理工大学 | Multinomial kalman filter method and filter |
| CN109633253A (en) * | 2018-12-07 | 2019-04-16 | 中电科仪器仪表(安徽)有限公司 | One kind realizing voltage transient signal deteching circuit and method based on FPGA |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115189763A (en) * | 2022-07-12 | 2022-10-14 | 安徽问天量子科技股份有限公司 | TDC (time-to-digital converter) -based quantum pulse interception method and quantum key distribution system |
| CN115189763B (en) * | 2022-07-12 | 2023-12-01 | 安徽问天量子科技股份有限公司 | Quantum pulse interception method based on TDC and quantum key distribution system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116388761B (en) | 2024-07-09 |
| CN116388761A (en) | 2023-07-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116388761B (en) | Analog-to-digital converter | |
| EP1142123A1 (en) | Analogue to digital converter and method of analogue to digital conversion with non-uniform sampling | |
| JP5925911B2 (en) | System and method for adaptive sample quantization | |
| US12057852B2 (en) | Sampling clock phase mismatch error estimation method and apparatus, and storage medium | |
| US20150212197A1 (en) | Radar device | |
| CN104579347A (en) | Analog-to-digital converter | |
| US4634966A (en) | Binary processing of sound spectrum | |
| US7583211B1 (en) | Analog-to-digital conversion circuit | |
| CN110739971B (en) | Determination method, device, equipment and medium of ADC sampling point sampling voltage | |
| US7119727B2 (en) | Analog-to-digital converter | |
| US8487805B1 (en) | Successive approximation analog-to-digital converter | |
| CN210469275U (en) | Analog-to-digital converter | |
| CN107483053A (en) | Realize the method, apparatus and computer-readable recording medium of high-resolution sampling | |
| US7701374B2 (en) | Method and apparatus for automatic optimal sampling phase detection | |
| US9276599B2 (en) | Method and apparatus for non-uniform analog-to-digital conversion | |
| US9077363B2 (en) | Stochastic encoding in analog to digital conversion | |
| Bortnyk et al. | The method of improving the dynamic range of analog-digital conversion of phase jitter signals in telecommunications systems | |
| CN114430274A (en) | Signal processing method and signal processing circuit | |
| US7737874B1 (en) | Method of multi-channel data readout and acquisition | |
| CN112600561A (en) | Signal processing system in oscilloscope, oscilloscope and signal processing method | |
| US6545454B1 (en) | System and method for testing an integrated circuit device using FFT analysis based on a non-iterative FFT coherency analysis algorithm | |
| Bilinskis et al. | Combination of periodic and alias-free non-uniform signal sampling for wideband signal digitizing and compressed transmitting based on picosecond-resolution event timing | |
| Han et al. | Adaptive online calibration in time stretched ADC arrays | |
| JP7066233B1 (en) | AD converter and wideband noise power measuring device and power spectrum measuring device using this | |
| US20230198540A1 (en) | Continuous dithered waveform averaging for high-fidelity digitization of repetitive signals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200512 Address after: 519000 room 105-68710, No. 6, Baohua Road, Hengqin New District, Zhuhai City, Guangdong Province (centralized office area) Applicant after: Zhuhai Jihai Semiconductor Co., Ltd Address before: 519060 building 01, No. 83, Guangwan street, Xiangzhou District, Zhuhai City, Guangdong Province Applicant before: APEX MICROELECTRONICS Co.,Ltd. |
|
| TA01 | Transfer of patent application right |