CN108344433A - A kind of data sequence methods of exhibiting and device - Google Patents
A kind of data sequence methods of exhibiting and device Download PDFInfo
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- CN108344433A CN108344433A CN201810356790.5A CN201810356790A CN108344433A CN 108344433 A CN108344433 A CN 108344433A CN 201810356790 A CN201810356790 A CN 201810356790A CN 108344433 A CN108344433 A CN 108344433A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000001747 exhibiting effect Effects 0.000 title claims abstract description 15
- 230000009466 transformation Effects 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000004148 unit process Methods 0.000 claims 1
- 230000002123 temporal effect Effects 0.000 abstract description 3
- 230000001360 synchronised effect Effects 0.000 abstract description 2
- 238000012300 Sequence Analysis Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 8
- 239000011159 matrix material Substances 0.000 description 6
- 238000012360 testing method Methods 0.000 description 5
- 238000007796 conventional method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000004568 cement Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000007596 consolidation process Methods 0.000 description 1
- 238000009408 flooring Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D7/00—Indicating measured values
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Abstract
The present invention discloses a kind of methods of exhibiting and device of data sequence.Method includes obtaining original data sequence；A given or previously given frequency；Temporal frequency domain transformation is made to obtain the coefficient data sequence of corresponding given frequency to original data sequence；Show that original data sequence and coefficient data sequence, curve are directly linked with curve form.Device includes data sequence acquiring unit, data sequence processing unit and data sequence shows unit.It can change with time in time-domain Synchronous signal and its frequency component, can be used for the data sequence analysis including non-time series signal.
Description
Technical field
The present invention relates to a kind of data sequence methods of exhibiting and devices.
Background technology
The time-frequency domain analysis of signal is used widely and achieves good results in recent years.This analysis method
Signal can be transformed to time-frequency domain and the efficiency of formation image from time-domain, to disclose originally in time-domain hardly possible
With the information discovered.However, in addition to above-mentioned time signal, there are many non-time series data for nature, for example, body surface
Coarse contour line, the uneven contour line of road, the fluctuating of landforms, the random fluctuation of stock price or certain physical phenomenon
Statistical result etc. is not belonging to the application of time-frequency domain transform method without time and frequency attribute.
Also, the coefficient image for calculating the time-frequency domain transformation of signal is relatively time-consuming, limits this method real-time
The application of Data processing.
Moreover, the analysis result of this time-frequency domain to signal needs to establish by time axial coordinate and be divided
The association of signal is analysed, it is not intuitive and inconvenient.
Invention content
It is an object of the invention to expand and improve application of the time-frequency domain analysis in data sequence processing.This hair
It is bright to propose a kind of new technical solution, non-time series data are also included in the analyst coverage of time-frequency domain, and to original
Data sequence makees time-frequency domain transformation to obtain the coefficient data sequence of given frequency, by coefficient data series and original number
It is directly linked and is shown in the form of one-dimensional curve according to sequence, have received unexpected advantageous effect.
The above-mentioned purpose of the present invention can be achieved through the following technical solutions.It is proposed a kind of displaying side of data sequence
Method：
A kind of data sequence methods of exhibiting, which is characterized in that include the following steps:
Obtain original data sequence；
A given or previously given frequency；
Time-frequency domain transformation is made to obtain the coefficient data sequence of corresponding given frequency to original data sequence；
Show that original data sequence and coefficient data sequence, curve are mutually adjacent each other with curve form.
The data sequence methods of exhibiting, it is characterised in that the original data sequence includes time series and Fei Shi
Between sequence, time series having time or frequency attribute, non-time series do not have time or frequency attribute.
The data sequence methods of exhibiting, it is characterised in that the original data sequence curve and coefficient data sequence
Curve is directly linked, and reference each other is unrelated with coordinate system.
The data sequence methods of exhibiting, it is characterised in that the original data sequence and coefficient data sequence is formed
Curve be not superimposed mutually either all superposition or partial stack.
The methods of exhibiting of above-mentioned purpose and data sequence to realize the present invention proposes a kind of data sequence displaying device：
A kind of data sequence displaying device, includes data sequence acquiring unit (1), data sequence processing unit (2) and data
Sequence shows device (3), data sequence acquiring unit (1) obtain original data sequence through data sequence processing unit (2) at
Data sequence is sent to show that device (3) is shown after reason；It is characterized in that：Data sequence processing unit (2) is to coming since data sequence
The original data sequence of acquiring unit (1) makees time-frequency domain transformation to obtain the coefficient data sequence of corresponding given frequency；Number
The coefficient data sequence of data sequence processing unit (2) will be come from and with original data sequence according to sequence shows device (3) with song
Line form shows that curve is mutually adjacent each other.
The data sequence shows device, it is characterised in that the original data sequence includes time series and Fei Shi
Between sequence, time series having time or frequency attribute, non-time series do not have time or frequency attribute.
The data sequence shows device, it is characterised in that the original data sequence curve and coefficient data sequence
Curve is directly linked, and reference each other is unrelated with coordinate system.
The data sequence shows device, it is characterised in that the original data sequence and coefficient data sequence is formed
Curve be not superimposed mutually either all superposition or partial stack.
Described time-frequency domain transformation may be used it is any can be by one-dimensional data sequence transformation to time-frequency domain
Method, including but not limited to Short Time Fourier Transform, wavelet transformation etc..
Above-mentioned time-frequency domain transformation can generate the coefficient matrix of covering certain frequency range to form image；Coefficient
The row of matrix represents frequency, and row represent the time；Or row represent frequency, row represents the time.Technical solution of the present invention only needs to count
Calculate the coefficient data sequence of that a line for obtaining and showing corresponding given frequency or that row coefficient composition.For example, if being
Matrix number contains M different frequency point and N number of time point, and the corresponding coefficients of given frequency Fm are located at m rows, then only need to calculate
The coefficient of m rows, coefficient data sequence length is N, with analyzed original data sequence equal length；Therefore, compare according to
Conventional method, which calculates, to be obtained and shows entire coefficient matrix image, and technical solution of the present invention data processing speed is faster.
There is specific physical significance in many cases to the result of the time-frequency domain transformation of data sequence.For the time
For series, the coefficient data sequence that transformation results correspond to a certain frequency in time-frequency domain reflects analyzed time system
The frequency component that row include changes over time；For non-temporal series, transformation results correspond to certain in time-frequency domain
The inherent changing rule of the analyzed non-temporal signal of coefficient data sequence reflection of one frequency；It therefore will be in time-frequency domain
The coefficient data sequence of a certain frequency is associated with analyzed data sequence can effectively point out analyzed data sequence
Which partly results in the peak value of coefficient data sequence, contributes to the physical characteristic for disclosing analyzed signal.For example, m- at that time
Frequency domain transformation is the result shows that the case where curve of the coefficient data Sequence composition of a certain frequency F is carved with peak F peak in t0
Under, conventional method needs find t0 on the time axial coordinate of analyzed signal, and then find the t0 moment of analyzed signal
Curvilinear portion is generated to be aware of Fpeak by the position curve.Using technical solution proposed by the present invention, due to original number
It is directly linked according to sequence curve and coefficient data sequence curve, reference each other can know Fpeak without time axial coordinate
Which position of corresponding analyzed signal；More intuitive compared with conventional method and easy use.
The above-mentioned method and apparatus that original data sequence curve and coefficient data sequence curve are directly linked and are shown,
Original data sequence can be observed in time-domain simultaneously and its frequency component changes with time（Namely coefficient data sequence）, with
It is traditionally compared in time-frequency domain analysis viewing transformation result, can measure or monitor in real time observed object, and
And only need to increase computing function in existing measuring apparatus and can be achieved with, be conducive to promote.
Advantageous effect
Compared with first technology, the advantageous effect of method and device of the invention is：
1. can not only processing time series data, and non-time series data can be handled；
2. it only needs to obtain and show the coefficient data sequence that a line of corresponding given frequency or a row coefficient are constituted, compared with
Traditionally obtain and show entire coefficient matrix image, data processing speed is faster；
3. original data sequence curve and coefficient data sequence curve are directly linked, reference each other, compared with traditionally passing through
Time axial coordinate establishes contacting between analyzed signal and time-frequency domain transformation results, more intuitive and easy use.
4. original data sequence can be observed and its frequency component changes with time simultaneously in time-domain, and by tradition
Method is compared in time-frequency domain analysis observation, can measure or monitor in real time observed object, and only need to be existing
Increase computing function in measuring apparatus can be achieved with, is conducive to promote.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention；
Fig. 2 is the schematic diagram of apparatus of the present invention；
Fig. 3 is the result of implementation figure of the specific embodiment of the invention 1；
Fig. 4 is the result of implementation figure of the specific embodiment of the invention 2；
Fig. 5 is the result of implementation figure of the specific embodiment of the invention 3.
In figure：1 data sequence processing unit of data sequence acquiring unit, 2 data sequence display unit 3.
Specific implementation mode
Below in conjunction with drawings and examples, invention is further described in detail.
Fig. 1 is the flow chart of data sequence methods of exhibiting of the present invention.Data sequence methods of exhibiting of the present invention, including following step
Suddenly：
Obtain original data sequence；
A given or previously given frequency；
Time-frequency domain transformation is made to obtain the coefficient data sequence of corresponding given frequency to original data sequence；
Show that original data sequence and coefficient data sequence, curve are mutually adjacent each other with curve form.
In the specific implementation, the original data sequence includes time series and non-time series, time series having time or
Person's frequency attribute, non-time series do not have time or frequency attribute.What those of ordinary skill in the art both knew about there are many type
Time series data and non-time series data, and there are many softwares（Such as MATLAB etc.）It can realize a variety of different
Time-frequency domain becomes scaling method（Such as STFT, WAVELET etc.）, following embodiment provide be only part therein and
It is not all.
Fig. 2 is the schematic diagram of data sequence displaying device of the present invention.In Fig. 2, data sequence collecting unit 1 can include to pass
Sensor, camera, A/D converter and sampling control circuit, by tested object outline line either electric signal or physical quantity
Statistical result acquires and is converted into Serial No.；Can also include various data-interfaces, for example, file or digital independent dress
It sets, directly reads measurement or the statistical result of third party's instrument or equipment；It can also include network interface, directly receive long-range
The data sequence transmitted；Data sequence processing unit 2 includes data sequence arithmetic element and deposit unit, can be from data
Sequence acquisition unit 1 receive initial data series and time-frequency domain transformation made to original data sequence with obtain it is corresponding to
Determine the coefficient data sequence of frequency；Data sequence display unit receives the original data sequence from data sequence processing unit 2
With coefficient data sequence and shown with curve form.
The operation principle of method and apparatus is further illustrated the present invention below in conjunction with Fig. 3-5 embodiments described.
Embodiment 1
Embodiment 1 is application of the present invention in oscillograph." the data sequence acquiring unit " of one oscillograph measures product electricity
While pressure, " the data sequence processing unit " included makees time-frequency domain change to the original data sequence that voltage signal is formed
The coefficient data sequence for obtaining corresponding given frequency is changed, coefficient data sequence is with original data sequence simultaneously in " data sequence exhibition
Show unit " it is shown with curve form on screen, as shown in Fig. 3 (a), wherein curve 301 is original data sequence curve, Ye Ji electricity
It is coefficient data sequence curve to press signal, curve 302.One-dimensional signal can be converted into two from time-frequency domain transformation
The coefficient matrix of dimension, coefficient magnitude reflect different frequency known to the common knowledge of the magnitude size of different time；Curve 301
Characterize the frequency component of given frequency（Electromagnetic interference, EMI）Intensity changes over time.Adjust the frequency rotation on oscilloscope panel
It rotates button and changes given frequency, the coefficient data sequence curve of " data sequence processing unit " output changes correspondingly.Adjust oscillography
Device panel button can further control moving up and down for original data sequence curve or coefficient data sequence curve so that the two
Non-overlapping copies partly overlap or are all overlapped.When moving up and down original data sequence curve or coefficient data sequence curve
So that coefficient data sequence curve is Chong Die with original data sequence curve, as shown in Fig. 3 (b), since two lengths of curve are equal simultaneously
And head is aligned, the coefficient data that the laps of two curves includes is exactly the when m- frequency for the initial data that lap includes
The result of rate domain transformation.In this way, it is serial in initial data that any point in coefficient data sequence curve 302 can be found
Position on curve 301, or any point is found in initial data serial curve 301 in coefficient data sequence curve 302
Position, the two reference each other is unrelated with coordinate system.Moreover, because only calculating the coefficient data sequence of corresponding given frequency, add
The fast speed of data processing so that two curves being capable of dynamically synchronous refresh.
Embodiment 2
Embodiment 2 is application of the present invention in electromagnetic interference (EMI) cloud computing analysis of electronic product.It is acquired with A/D data
" the data sequence collecting unit " that device is constituted measures on a certain product circuit plate after multipoint voltage signal, together with circuit board photo and
Given frequency uploads to " cloud ", it is established that " virtual work platform " as shown in Figure 4（Label 400）, the circle on virtual work platform 400
Point represents voltage signal test point.By the way that " small echo that cloud computing obtains voltage signal as wavelet transformation corresponding given frequency becomes
After changing coefficient data sequence, mouse is moved on into some test point on virtual work platform 400, the corresponding original number of the test point
To be shown in display screen with curve form according to sequence and its coefficient data sequence, wherein 401 be original data sequence curve, 402
For coefficient data serial curve.Since curve 402 reflects the intensity of given frequency component i.e. EMI that curve 401 includes
It changes with time, thus more different 402 amplitude sizes of test point curve can be determined that different test point EMI sizes；Also,
401 and 402 be directly linked, reference each other the result shows that, the position of 401 curves of curve 402 peak value meaning（Namely curve
401 parts Chong Die with 402 peak value of curve）, stronger EMI is produced, the waveform for changing the 401 curve positions is expected to change
EMI intensity.It may be noted that in Fig. 4 curve 401 and 402 voltage axis that nearby occur and time shaft and curve 401 together 402 it is straight
Connect association and each other with reference to unrelated.
Embodiment 3
Embodiment 3 is application of the present invention in random road roughness analysis.It is 16 meters to measure length with device as shown in Figure 2
Cement pavement.Data sequence acquiring unit 1 includes laser range sensor, measures and acquires original data sequence and be transferred to
Data sequence processing unit 2；It is preset that processing unit 2 makees time-frequency domain transformation acquisition correspondence to original data sequence
After the coefficient data sequence of given frequency, coefficient data sequence is with original data sequence simultaneously in 3 screen of data sequence display unit
It is shown with curve form on curtain, as shown in Fig. 5 501 and 502, wherein 501 be original data sequence curve namely cement flooring
Contour line, 502 be coefficient data sequence curve.System application experience have shown that, the corresponding curve of 502 peak value of curve 501
Part is the recessed very fast part in ground, related to the variation of the consolidation of ground.Since the method for the present invention and device are without when passing through
Between axial coordinate establish the association of original data sequence curve and coefficient data sequence so that the method for the present invention is with device similar
Application in the non-time series object of the present embodiment is possibly realized.
The foregoing is merely the section Example of the present invention, and not all embodiments.Based on the embodiments of the present invention,
Every other embodiment obtained by those of ordinary skill in the art without making creative efforts, belongs to this hair
The range of bright protection.
Claims (8)
1. a kind of data sequence methods of exhibiting, which is characterized in that include the following steps:
Obtain original data sequence；
A given or previously given frequency；
Time-frequency domain transformation is made to obtain the coefficient data sequence of corresponding given frequency to original data sequence；
Show that original data sequence and coefficient data sequence, curve are mutually adjacent each other with curve form.
2. data sequence methods of exhibiting according to claim 1, it is characterised in that when the original data sequence includes
Between sequence and non-time series, time series having time or frequency attribute, non-time series do not have time or frequency attribute.
3. data sequence methods of exhibiting according to claim 1, it is characterised in that the original data sequence curve and
Coefficient data sequence curve is directly linked, and reference each other is unrelated with coordinate system.
4. data sequence methods of exhibiting according to claim 1, it is characterised in that the original data sequence and coefficient
The curve that data sequence is formed is not superimposed either all superposition or partial stack mutually.
Include data sequence acquiring unit, data sequence processing unit and data sequence 5. a kind of data sequence shows device
Show that device, the original data sequence that data sequence acquiring unit obtains send data sequence after data sequence processing unit processes
Show device displaying；It is characterized in that：Data sequence processing unit is to carrying out the initial data sequence since data sequence acquiring unit
Row make time-frequency domain transformation to obtain the coefficient data sequence of corresponding given frequency；Data sequence shows that device will come from number
It is shown with curve form according to the coefficient data sequence of series processing unit and with original data sequence, curve is mutually adjacent each other.
6. data sequence according to claim 5 shows device, it is characterised in that when the original data sequence includes
Between sequence and non-time series, time series having time or frequency attribute, non-time series do not have time or frequency attribute.
7. data sequence according to claim 5 shows device, it is characterised in that the original data sequence curve and
Coefficient data sequence curve is directly linked, and reference each other is unrelated with coordinate system.
8. data sequence according to claim 5 shows device, it is characterised in that the original data sequence and coefficient
The curve that data sequence is formed is not superimposed either all superposition or partial stack mutually.
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| CN201810356790.5A CN108344433A (en) | 2018-04-20 | 2018-04-20 | A kind of data sequence methods of exhibiting and device |
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| CN1656517A (en) * | 2002-05-28 | 2005-08-17 | 勒克罗伊公司 | Sequence display |
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| CN102681771A (en) * | 2011-03-03 | 2012-09-19 | 株式会社堀场制作所 | Measurement device |
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| CN105182408A (en) * | 2015-08-28 | 2015-12-23 | 中国石油天然气集团公司 | Manufacturing method and device for synthesizing earthquake record |
| CN208155328U (en) * | 2018-04-20 | 2018-11-27 | 吴伟 | A kind of data sequence displaying device |
-
2018
- 2018-04-20 CN CN201810356790.5A patent/CN108344433A/en active Pending
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| JP2003132088A (en) * | 2001-10-22 | 2003-05-09 | Toshiba Corp | Time series data retrieval system |
| CN1656517A (en) * | 2002-05-28 | 2005-08-17 | 勒克罗伊公司 | Sequence display |
| AU2009240461A1 (en) * | 2008-04-24 | 2009-10-29 | 3M Innovative Properties Company | Analysis of nucleic acid amplification curves using wavelet transformation |
| CN102681771A (en) * | 2011-03-03 | 2012-09-19 | 株式会社堀场制作所 | Measurement device |
| CN104811167A (en) * | 2015-04-29 | 2015-07-29 | 吴伟 | Method for changing signal frequency component intensity |
| CN105182408A (en) * | 2015-08-28 | 2015-12-23 | 中国石油天然气集团公司 | Manufacturing method and device for synthesizing earthquake record |
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