CN108982941A - A kind of method for real-time measurement and device, oscillograph, storage medium of period frequency - Google Patents
A kind of method for real-time measurement and device, oscillograph, storage medium of period frequency Download PDFInfo
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- CN108982941A CN108982941A CN201810639716.4A CN201810639716A CN108982941A CN 108982941 A CN108982941 A CN 108982941A CN 201810639716 A CN201810639716 A CN 201810639716A CN 108982941 A CN108982941 A CN 108982941A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R13/00—Arrangements for displaying electric variables or waveforms
- G01R13/02—Arrangements for displaying electric variables or waveforms for displaying measured electric variables in digital form
- G01R13/0209—Arrangements for displaying electric variables or waveforms for displaying measured electric variables in digital form in numerical form
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/02—Arrangements for measuring frequency, e.g. pulse repetition rate; Arrangements for measuring period of current or voltage
Abstract
A kind of method for real-time measurement and device, oscillograph, storage medium of period frequency include the steps that obtaining Wave data, obtain rising edge/failing edge midpoint data point, the sampling sequence number calculating cycle frequency according to midpoint data point.Sampling sequence number due to proposing rising edge/failing edge midpoint data point carrys out calculating cycle frequency, this period frequency calculation method carried out along center searching mode has deepened existing Wave crest and wave trough calculation method, on the one hand it avoids in Traditional calculating methods by the biggish situation of amplitude influences, there can be higher calculating accuracy, it on the other hand can be to period frequency corresponding to signal period signal in calculating Wave data, period frequency corresponding to each periodic signal in whole frame Wave data is depicted, so that user not only can specifically understand the wave characteristic of signal period signal, variation characteristic of the waveform on entire time shaft can also comprehensively be understood, with preferable practical application effect and customer experience effect.
Description
Technical field
The present invention relates to signal measurement fields, and in particular to a kind of method for real-time measurement and device, oscillography of period frequency
Device, storage medium.
Background technique
It is the conventional means in electronic technology engineering to the sensing of original signal, measurement, data acquisition, wherein data are surveyed
Amount can help user to conduct further analysis target data, provide the data characteristic on basis.Data measuring method master
It is divided into field amplitude measurement and leveled time measurement, leveled time measurement is a kind of mode relatively conventional on instrument and equipment,
The cyclophysis and frequency characteristic being concerned about the most including user.Since period and frequency can most reflect the change of signal in the time domain
Change situation, therefore, the near pass weight of the time domain variation characteristic how accurately, comprehensively to describe signal using period and frequency
It wants.
It is digital oscilloscope to the main tool that electric signal measures, can will collects analog-signal transitions as number
Word signal, each frame Wave data corresponding to digital signal carries out the processing of time domain and frequency domain, according to a frame Wave data
Period and the frequency of periodic waveform is calculated in number of cycles and sampling time, so calculate every frame Wave data period and
Then frequency shown period and frequency by display interface, specific visible Fig. 1.Currently, obtaining wave in digital oscilloscope
The period of graphic data and the main algorithm of frequency are as follows: obtain the Wave data that oscillograph front-end collection arrives；Count Wave data
Peak value max and valley min；Using peak-to-valley value as the Wave data of the whole frame of standard retrieval, the peak/valley value of whole frame Wave data is obtained
Number n, and record primary wave peak/valley position start and terminate wave peak/valley position end；Pass through formula 1/Sa* (end-
Start the algorithm)/(n-1) illustrated obtains the period, and then obtains frequency.
Above-mentioned can only provide fixed cycle and the fixed frequency of a frame Wave data about the algorithm of period and frequency, only
It is effective to the electric signal with waveform normal period, and for the FM waveform signal shown by Fig. 2, amplitude or period with
Machine situation of change will prevent above-mentioned algorithm and its calculated result from week of the signal within each period of waves is accurately depicted
Time value and frequency values also will be unable to comprehensively understand signal in each fluctuation characteristic compared in minor time slice, and then will affect
Judging result of the user to Wave data.
Summary of the invention
The present invention solves the technical problem of how comprehensively, Wave data is accurately measured within each period of waves
Periodic quantity and frequency values.
According in a first aspect, providing a kind of method for real-time measurement of period frequency in a kind of embodiment, comprising the following steps:
Obtain Wave data, the Wave data includes multiple data points, the information of each data point include range value and
Sampling sequence number；
The number of the midpoint of rising edge and/or failing edge is obtained according to the range value of data point each in the Wave data
Strong point；
Period and/or the frequency of the Wave data are obtained according to the sampling sequence number of the data point of the midpoint.
According to second aspect, a kind of embodiment of the application provides a kind of real-time measurement apparatus of period frequency, comprising:
Wave data acquiring unit, for obtaining Wave data, the Wave data includes multiple data points, each data
The information of point includes range value and sampling sequence number；
Midpoint acquiring unit, for according to the range value of data point each in the Wave data obtain rising edge and/
Or the data point of the midpoint of failing edge；
Period frequency computing unit, the sampling sequence number for the data point according to the midpoint obtain the waveform number
According to period and frequency.
According to the third aspect, a kind of embodiment of the application provides a kind of digital oscilloscope, comprising:
TCH test channel obtains the waveform signal pair for receiving waveform signal and sampling to the waveform signal
The Wave data answered；
The real-time measurement apparatus of period frequency as described in second aspect；
Display, for the Wave data and the Wave data period and/or frequency show.
According to fourth aspect, a kind of embodiment of the application provides a kind of computer readable storage medium, including program, described
Program can be executed by processor to realize method described in first aspect.
The beneficial effect of the application is:
The method for real-time measurement and device, oscillograph, storage medium of a kind of period frequency according to above-described embodiment, including
Wave data is obtained, rising edge/failing edge midpoint data point is obtained, is calculated according to the sampling sequence number of midpoint data point
The step of period frequency.Sampling sequence number due to proposing rising edge/failing edge midpoint data point carrys out calculating cycle frequency
Rate, this period frequency calculation method carried out along center searching mode have deepened existing Wave crest and wave trough calculation method, a side
Face is avoided by the biggish situation of amplitude influences in traditional calculations mode, the accuracy that can have higher period frequency to calculate,
It on the other hand can be to period frequency corresponding to signal period signal in Wave data be calculated, so that whole frame waveform number be depicted
The period frequency corresponding to each periodic signal in, so that the fluctuation that user not only can specifically understand signal period signal is special
Property, it can also comprehensively understand variation characteristic of the waveform on entire time shaft, there is preferable practical application effect and client
Experience effect.
Detailed description of the invention
Fig. 1 is the schematic diagram that the period frequency of existing Wave data is shown over the display；
Fig. 2 is a kind of display schematic diagram of FM waveform；
Fig. 3 is the overall flow figure of the method for real-time measurement of period frequency；
Fig. 4 is the detail flowchart of the method for real-time measurement of period frequency；
Fig. 5 is the structure chart of the real-time measurement apparatus of period frequency；
Fig. 6 is the structure chart of digital oscilloscope.
Specific embodiment
Below by specific embodiment combination attached drawing, invention is further described in detail.Wherein different embodiments
Middle similar component uses associated similar element numbers.In the following embodiments, many datail descriptions be in order to
The application is better understood.However, those skilled in the art can recognize without lifting an eyebrow, part of feature
It is dispensed, or can be substituted by other elements, material, method in varied situations.In some cases, this Shen
Please it is relevant it is some operation there is no in the description show or describe, this is the core in order to avoid the application by mistake
More descriptions are flooded, and to those skilled in the art, these relevant operations, which are described in detail, not to be necessary, they
Relevant operation can be completely understood according to the general technology knowledge of description and this field in specification.
It is formed respectively in addition, feature described in this description, operation or feature can combine in any suitable way
Kind embodiment.Meanwhile each step in method description or movement can also can be aobvious and easy according to those skilled in the art institute
The mode carry out sequence exchange or adjustment seen.Therefore, the various sequences in the description and the appended drawings are intended merely to clearly describe a certain
A embodiment is not meant to be necessary sequence, and wherein some sequentially must comply with unless otherwise indicated.
It is herein component institute serialization number itself, such as " first ", " second " etc., is only used for distinguishing described object,
Without any sequence or art-recognized meanings.And " connection ", " connection " described in the application, unless otherwise instructed, include directly and
It is indirectly connected with (connection).
Referring to FIG. 3, this application provides a kind of method for real-time measurement of period frequency, including step S100-S300, under
Face illustrates respectively.
Step S100 obtains Wave data, and Wave data includes multiple data points, and the information of each data point includes amplitude
Value and sampling sequence number.In one embodiment, Wave data can be obtained by ADC converter, ADC converter is used to that electricity will be simulated
Signal is converted to the Wave data of digital form, and conversion process is exactly the sampling process to mode electrical signal, usually used
MSa/s GSa/s level samples rate samples analog electrical signal, thus obtain analog electrical signal it is corresponding discrete when
Domain signal, the discrete time-domain signal have the group of data points of the distribution of time domain one by one at, each data point have range value and
Sampling sequence number.In another embodiment, it is previously stored with the Wave data that signal sampling obtains in memory or buffer, that
At this time Wave data can be obtained by way of reading memory or buffer.
Step S200 obtains the middle point of rising edge and/or failing edge according to the range value of data point each in Wave data
The data point set.In one embodiment, see that Fig. 4, step S200 may include step S210-S240, illustrate separately below.
Step S210 successively compares the range value of each data point data point adjacent thereto in Wave data, the step
S210 may include step S211-S213, be respectively described below.
It is adjacent thereto successively to compare current data point according to the sampling sequence number of data point each in Wave data by step S211
The range value of data point respectively corresponds 1 to 1000 sampling for example, having 1000 data points in the frame Wave data obtained
Serial number, then, for the 2nd data point, by its range value width with the range value of the 1st data point, the 3rd data point respectively
Angle value is compared, and after the 2nd data point compares completion, is compared for the 3rd data point.
Step S212 determines peak data point and valley data point in Wave data.In one embodiment, when one
When the range value of the adjacent data point in the front and back two of data point is respectively less than the range value of the data point, using the data point as peak value
Data point；When the range value of the adjacent data point in the front and back of a data point two is all larger than the range value of the data point, by the number
Strong point is as valley data point.For example, the range value for the 2nd data point is all larger than the range value of the 1st data point, the 3rd
The range value of a data point.So, it is believed that the 2nd data point is peak data point.
Step S213 judges whether each data point compares end in Wave data, by the sampling sequence of current data point
Number be compared with the maximum sampling sequence number of Wave data, if more than or be equal to maximum sampling sequence number, it is determined that each data point
Compare end, enters step S220；Conversely, return step S211, continues the adjacent data point of the current data point of comparison
Range value, until each data point compares end.
It will be understood by those of skill in the art that can be according to data point each in Wave data by step S211-S213
Sampling sequence number successively more each data point data point adjacent thereto range value, to find all peaks in Wave data
Value Data point and valley data point can establish respectively array to peak data point and valley data point at this time, subsequent to carry out
The data call operation that may be used in processing.
Step S220, Wave data Effective judgement step, the step method particularly includes:
1) number of rising edge is counted respectively according to the number of peak data point in Wave data and valley data point under
The number on edge drops, it should be understood that the data point between a peak data point and the valley data point of the front is formed by waveform
As rising edge, and it is to decline that the data point between a peak data point and valley data point behind, which is formed by waveform,
Edge.
2) when at least tool is there are two rising edge in Wave data or at least tool is there are two failing edge, and the number of rising edge and
Absolute difference between the number of failing edge is no more than for the moment, it is determined that Wave data is effective, enters step S230 (i.e. step
S231 and step S232).For example, the number of peak data point, valley data point is respectively K1, K2, according to the continuous wave of waveform
Dynamic characteristic is it is found that the number of effective rising edge, failing edge should be the minimum value in K1, K2, and the absolute value of the two difference
It is 1 or 0, it is possible to judge the validity of Wave data according to these characteristics, only in Wave data at least there are two tools
Rising edge or when at least tool is there are two failing edge, could be according to two rising edges or two failing edges come calculating cycle, frequency (on one
Rise along a, failing edge or its combine can not calculating cycle)；And between the number of only rising edge and the number of failing edge
Absolute difference is no more than for the moment, just can guarantee that the statistical result about number is correct.
Step S230 obtains rising edge and/or failing edge according to peak data point in Wave data and valley data point
The data point of midpoint.It may include step S231-S232, be described as follows.
Step S231, the sampling sequence number of the midpoint data point of failing edge where determining wave crest data point.It is specific one
In embodiment, for any peak data point, obtain the peak data point range value top and valley data neighbouring behind
The range value base of point (also corresponds to obtain the range value base of valley data point and the width of the neighbouring peak data point of the front
Angle value top), the data point of the midpoint of failing edge where determining the peak data point according to the average value of two range values, i.e.,
Using the peak data point on a falling edge there is range value and averaging of income to be worth an immediate data point as under this
Data point along upper midpoint drops, in addition, the sampling sequence number of the data point of the center of failing edge where obtaining.
In another embodiment, the middle point of failing edge is obtained along central point recognizer with rise and fall according to standard
The data point set, specifically: set the range value top of peak data point and the range value of valley data point neighbouring behind
Magnitude level between base, [base+ (top-base)/10, base+9* (top-base)/10], first finds range value and is less than
The data point of base+9* (top-base)/10 continues to search for range value closest to the data point of (top+base)/2, and marks
Remember the location information of the data point or save the sampling sequence number of the data point, is further continued for searching for range value backward less than base+
(top-base)/10 data point, if the data point of three grades searches success, then it is assumed that range value is most bordering on (top+
Base data point)/2 is exactly the data point of the midpoint of failing edge, obtains the sampling sequence number of the data point.
For a frame Wave data, with many failing edges, then also with the center on many failing edges
Data point, for convenience of the calculating about period frequency is carried out to periodic waveform each in the frame Wave data, it may be assumed that under all
The number for dropping the data point along upper center is n, then can successively be remembered to the data point of each center by array
Record, is set as down [i], and the value range of i is 1~n, and each array location is used to record the sampling of a Centre location data point
Serial number.
Step S232, the sampling sequence number of the midpoint data point of failing edge where determining trough data point.For any
Valley data point, obtain the valley data point range value base and peak data point neighbouring behind range value top (
It is equivalent to the range value base of the range value top for obtaining peak data point and the neighbouring valley data point of the front), according to two width
The data point of the midpoint of rising edge where the average value of angle value determines the valley data point, and obtain in the rising edge of place
The sampling sequence number of the data point of point position.
In another embodiment, the middle point of rising edge is obtained along central point recognizer with rise and fall according to standard
The data point set, specifically: the range value base of setting valley data point and the range value of peak data point neighbouring behind
Magnitude level between top, [base+ (top-base)/10, base+9* (top-base)/10], first finds range value and is greater than
The data point of base+ (top-base)/10 continues to search for range value closest to the data point of (top+base)/2, and marks
The location information of the data point or the sampling sequence number for saving the data point are further continued for searching for range value backward greater than base+9*
(top-base)/10 data point, if the data point of three grades searches success, then it is assumed that range value is most bordering on (top+
Base data point)/2 is exactly the data point of the midpoint of rising edge, obtains the sampling sequence number of the data point.
For a frame Wave data, with many rising edges, then also with the center on many rising edges
Data point, for convenience of the calculating about period frequency is carried out to periodic waveform each in the frame Wave data, it may be assumed that Suo Youshang
The number for rising the data point along upper center is m, then can successively be remembered to the data point of each center by array
Record, is set as up [j], and the value range of j is 1~m, and each array location is used to record the sampling sequence of a Centre location data point
Number.
Step S240 terminates, and specifically includes and stops calculating cycle and frequency, error prompting etc..
Step S300 obtains period and/or the frequency of Wave data according to the sampling sequence number of the data point of midpoint.?
In one embodiment, Fig. 4 is seen, step S240 includes step S311-S312 and step S321-S322.Illustrate separately below.
Step S311 obtains the sample rate of Wave data, and sample rate can indicate that unit is Sa/s with Sa.
Step S312, according to two adjacent peaks in Wave data in the sample rate Sa and step S231 of middle Wave data
Value Data point respectively where failing edge midpoint data point sampling sequence number, obtain between two adjacent peak data points
Wave data corresponding to period and frequency (i in down [i] is indicated here).
In one embodiment, by Wave data two adjacent peak data points respectively where failing edge middle point
After the sampling sequence number for the data point set is subtracted each other (down [i] in sampling sequence number available step S231 is indicated), with waveform number
According to sample rate compare (Sa indicate) in sample rate available step S311 here, the numerical value after comparison is adjacent as two
Period corresponding to Wave data between peak data point obtains the wave between two adjacent peak data points according to the period
Frequency corresponding to graphic data.So, cycle T [i] corresponding to the Wave data between two adjacent peak data points can table
Up to for
T [i]=1/Sa* (down [i+1]-down [i) (0 < i < n) (1)
Frequency f [i] corresponding to Wave data between two adjacent peak data points can be expressed as
F [i]=Sa/ (down [i+1]-down [i]) (0 < i < n) (2)
Step S321 obtains the sample rate of Wave data, with reference to step S311.
Step S322, according to the respective institute of in the sample rate of Wave data and Wave data two adjacent valley data points
In the sampling sequence number of the data point of the midpoint of rising edge, the Wave data institute obtained between two adjacent valley data points is right
The period answered and frequency.
In one embodiment, by Wave data two adjacent paddy peak number strong points respectively where rising edge middle point
After the sampling sequence number for the data point set is subtracted each other (up [i] in sampling sequence number available step S232 is indicated), with Wave data
Sample rate compare (Sa indicate) in sample rate available step S321 here, using the paddy adjacent as two of the numerical value after comparison
Period corresponding to Wave data between Value Data point obtains the waveform between two adjacent valley data points according to the period
Frequency corresponding to data.So, cycle T [i] corresponding to the Wave data between two adjacent valley data points can be expressed
For
T [j]=1/Sa* (up [j+1]-up [j) (0 < j < m) (3)
Frequency f [j] corresponding to Wave data between two adjacent peak data points can be expressed as
F [j]=Sa/ (up [j+1]-up [j]) (0 < j < m) (4)
It will be understood by those of skill in the art that disclosed herein as well is the real-time measurement apparatus in a kind of period and frequency,
With reference to Fig. 5, which includes Wave data acquiring unit 41, midpoint acquiring unit 42 and period frequency
Computing unit 43, illustrates separately below.
For Wave data acquiring unit 41 for obtaining Wave data, Wave data includes multiple data points, each data point
Information include range value and sampling sequence number.The concrete mode for obtaining Wave data can refer to step S100, no longer carry out here
It repeats.
Midpoint acquiring unit 42 and Wave data acquiring unit 41 communicate to connect, for according to number each in Wave data
The range value at strong point obtains the data point of the midpoint of rising edge and/or failing edge.Obtain the specific of midpoint data point
Mode can refer to step S200, be not discussed here.
Period frequency computing unit 43 and midpoint acquiring unit 42 communicate to connect, for the data according to midpoint
The sampling sequence number of point obtains period and the frequency of Wave data.The concrete mode for obtaining period frequency can refer to step S300, this
In no longer repeated.
In addition, disclosed herein as well is a kind of digital oscilloscopes, referring to FIG. 6, the digital oscilloscope 5 includes TCH test channel
50, real-time measurement apparatus 4 and display 53, illustrate separately below.
TCH test channel 50 obtains the corresponding waveform of waveform signal for receiving waveform signal and sampling to waveform signal
Data.In one embodiment, TCH test channel 50 should have test lead with the sample circuit that is connected, the former is for connecting waveform
The route of signal (i.e. analog electrical signal), the latter can be the sample circuit of the types such as ADC converter, serial/parallel line receiver
To be sampled to waveform signal.
Real-time measurement apparatus 4 and TCH test channel 50 communicate to connect, for receiving test data and Wave data being calculated
Period and frequency, detailed process can refer to Fig. 5 and step S100-S300.
Display 53 and real-time measurement apparatus 4 communicate to connect, for Wave data and Wave data period and/or
Frequency is shown, so that user observes the displaying result of Wave data and its period frequency.
It will be understood by those skilled in the art that all or part of function of various methods can pass through in above embodiment
The mode of hardware is realized, can also be realized by way of computer program.When function all or part of in above embodiment
When being realized by way of computer program, which be can be stored in a computer readable storage medium, and storage medium can
To include: read-only memory, random access memory, disk, CD, hard disk etc., it is above-mentioned to realize which is executed by computer
Function.For example, program is stored in the memory of equipment, when executing program in memory by processor, can be realized
State all or part of function.In addition, when function all or part of in above embodiment is realized by way of computer program
When, which also can store in storage mediums such as server, another computer, disk, CD, flash disk or mobile hard disks
In, through downloading or copying and saving into the memory of local device, or version updating is carried out to the system of local device, when logical
When crossing the program in processor execution memory, all or part of function in above embodiment can be realized.
Use above specific case is illustrated the present invention, is merely used to help understand the present invention, not to limit
The system present invention.For those skilled in the art, according to the thought of the present invention, can also make several simple
It deduces, deform or replaces.
Claims (10)
1. a kind of method for real-time measurement of period frequency, which comprises the following steps:
Wave data is obtained, the Wave data includes multiple data points, and the information of each data point includes range value and sampling
Serial number；
The data of the midpoint of rising edge and/or failing edge are obtained according to the range value of data point each in the Wave data
Point；
Period and/or the frequency of the Wave data are obtained according to the sampling sequence number of the data point of the midpoint.
2. method for real-time measurement as described in claim 1, which is characterized in that described according to data point each in the Wave data
Range value obtain rising edge and/or failing edge midpoint data point:
The successively range value of each data point data point adjacent thereto in the Wave data；When the front and back of a data point
When the range value of two adjacent data points is respectively less than the range value of the data point, using the data point as peak data point；When one
When the range value of the adjacent data point in the front and back two of data point is all larger than the range value of the data point, using the data point as valley
Data point；
The midpoint of rising edge and/or failing edge is obtained according to peak data point in the Wave data and valley data point
Data point.
3. method for real-time measurement as claimed in claim 2, which is characterized in that each in the successively more described Wave data
The range value of a data point data point adjacent thereto, comprising:
According to the sampling sequence number successively more each data point data point adjacent thereto of each data point in the Wave data
Range value；
Judge whether each data point compares end in the Wave data, by the sampling sequence number of current data point and the wave
The maximum sampling sequence number of graphic data is compared, if more than or equal to the maximum sampling sequence number, it is determined that each data point ratio
Relatively terminate, conversely, continuing the range value of the adjacent data point of the current data point of comparison, until each data point compares knot
Beam.
4. method for real-time measurement as claimed in claim 2, which is characterized in that described according to data each in the Wave data
Point range value obtain the data point of the rising edge of the Wave data and/or the midpoint of failing edge, among include waveform
Data validity judgment step, the Wave data Effective judgement step include:
Count the number and decline of rising edge respectively according to the number of peak data point and valley data point in the Wave data
The number on edge；
When at least tool is there are two rising edge in the Wave data or at least tool is there are two failing edge, and the number of rising edge and under
The absolute difference dropped between the number on edge is no more than for the moment, it is determined that the Wave data is effective.
5. method for real-time measurement as claimed in claim 2, which is characterized in that described according to peak-data in the Wave data
Point and valley data point obtain the data point of the midpoint of rising edge and/or failing edge, comprising:
For any peak data point, the range value of the peak data point and the amplitude of valley data point neighbouring behind are obtained
Value, the data point of the midpoint of failing edge where determining the peak data point according to the average value of two range values, and obtain institute
In the sampling sequence number of the data point of the center of failing edge；And/or
For any valley data point, the range value of the valley data point and the amplitude of peak data point neighbouring behind are obtained
Value, the data point of the midpoint of rising edge where determining the valley data point according to the average value of two range values, and obtain institute
In the sampling sequence number of the data point of the midpoint of rising edge.
6. method for real-time measurement as claimed in claim 5, which is characterized in that the data point according to the midpoint
Sampling sequence number obtains period and the frequency of the Wave data, comprising:
Obtain the sample rate of the Wave data；
According to the respectively place decline of two adjacent peak data points in the sample rate of the Wave data and the Wave data
The sampling sequence number of the data point of the midpoint on edge obtains corresponding to the Wave data between described two adjacent peak data points
Period and frequency；And/or
According to two adjacent valley data points in the sample rate of the Wave data and the Wave data, respectively place rises
The sampling sequence number of the data point of the midpoint on edge obtains corresponding to the Wave data between described two adjacent valley data points
Period and frequency.
7. method for real-time measurement as claimed in claim 6, which is characterized in that
By in the Wave data two adjacent wave crest data points respectively where failing edge midpoint data point sampling
After serial number is subtracted each other, compared with the sample rate of the Wave data, using the peak value adjacent as described two of the numerical value after comparison
Period corresponding to Wave data between data point obtains the wave between described two adjacent peak data points according to the period
Frequency corresponding to graphic data；And/or
By in the Wave data two adjacent paddy peak number strong points respectively where rising edge midpoint data point sampling
After serial number is subtracted each other, compared with the sample rate of the Wave data, using the valley adjacent as described two of the numerical value after comparison
Period corresponding to Wave data between data point obtains the wave between described two adjacent valley data points according to the period
Frequency corresponding to graphic data.
8. the real-time measurement apparatus in a kind of period and frequency characterized by comprising
Wave data acquiring unit, for obtaining Wave data, the Wave data includes multiple data points, each data point
Information includes range value and sampling sequence number；
Midpoint acquiring unit, for according to the range value of data point each in the Wave data obtain rising edge and/or under
The data point of the midpoint on edge drops；
Period frequency computing unit, the sampling sequence number for the data point according to the midpoint obtain the Wave data
Period and frequency.
9. a kind of digital oscilloscope characterized by comprising
It is corresponding to obtain the waveform signal for receiving waveform signal and sampling to the waveform signal for TCH test channel
Wave data；
The real-time measurement apparatus in period and frequency as claimed in claim 8；
Display, for the Wave data and the Wave data period and/or frequency show.
10. a kind of computer readable storage medium, which is characterized in that including program, described program can be executed by processor with
Realize such as method of any of claims 1-7.
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Cited By (4)
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| CN112444653A (en) * | 2019-08-27 | 2021-03-05 | 华东师范大学 | 8086-based digital oscilloscope |
| CN114719731A (en) * | 2022-06-08 | 2022-07-08 | 中国航发四川燃气涡轮研究院 | Blade tip clearance peak-to-peak value extraction method and blade rotating speed calculation method and device |
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