CN105117667A - Surface acoustic wave type arbitrary-scale wavelet transformation processor - Google Patents

Surface acoustic wave type arbitrary-scale wavelet transformation processor Download PDF

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Publication number
CN105117667A
CN105117667A CN201510451818.XA CN201510451818A CN105117667A CN 105117667 A CN105117667 A CN 105117667A CN 201510451818 A CN201510451818 A CN 201510451818A CN 105117667 A CN105117667 A CN 105117667A
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China
Prior art keywords
acoustic wave
surface acoustic
wave type
wavelet
wavelet transform
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CN201510451818.XA
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Chinese (zh)
Inventor
卢文科
刘守兵
朱长纯
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Donghua University
National Dong Hwa University
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Donghua University
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Priority to CN201510451818.XA priority Critical patent/CN105117667A/en
Publication of CN105117667A publication Critical patent/CN105117667A/en
Pending legal-status Critical Current

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Abstract

The invention relates to a surface acoustic wave type arbitrary-scale wavelet transformation processor which comprises a piezoelectric substrate. The processor is characterized in that one end of the piezoelectric substrate is provided with an input energy converter while the other end is provided with an output energy converter. The input energy converter converts electric signals into surface acoustic wave type wavelet transformation signals which are further output to the output energy converter. The output energy converter is used for outputting electric signal type wavelet transformation signals. The input energy converter adopts arbitrary-scale wavelet function envelope amplitude weighting. The processor can process signals in conditions with any center frequency and bandwidth.

Description

Any scale wavelet transform processor of a kind of surface acoustic wave type
Technical field
The present invention relates to wavelet transformation technique field, particularly relate to any scale wavelet transform processor of a kind of surface acoustic wave type.
Background technology
Wavelet analysis technology has been advanced to new epoch the development of signal processing theory, the research relating to related fields is a lot, but all there is an inevitable problem: the method comparison of wavelet analysis is complicated, and thus workload is very large, complicated computer programming can only be had to realize.Also some scientific research personnel are had to attempt utilizing hardware to realize wavelet transformation, as VLSI VLSI (very large scale integrated circuit), DSP and SAW (Surface Acoustic Wave) device etc.VLSI and DSP serves the effect of enthusiasm in wavelet transform process, also some practical problemss are solved, but because the technology of current this respect is ripe not enough, and price is high, in addition need the feature of a large amount of peripheral components and active property thereof, its dirigibility and popularization are very restricted.Thus, some researchists are striving to find a kind of easy, that cost performance is high new method and are carrying out wavelet transformation, to avoid complicated algorithm and loaded down with trivial details programming, and are devoted to wavelet transformation to be made into device.The people such as Zhu Changchun, Lu Wenke, Wei Peiyong take the lead in proposing the method (belonging to simulation realizing method) realizing wavelet transformation by SAW (Surface Acoustic Wave) device, thus have produced surface acoustic wave type wavelet transform processor.
The surface acoustic wave type wavelet transformer overwhelming majority in current existing document is surface acoustic wave type Binary Scale wavelet transform processor, the finger envelope of its interdigital transducer, according to Morlet binary wavelet function envelope (namely the finger length of interdigital transducer is directly proportional to Morlet binary wavelet function envelope amplitude), is commonly referred to envelope card weighting.Although surface acoustic wave type Binary Scale wavelet transform processor can realize realizing wavelet transformation by SAW (Surface Acoustic Wave) device, it can only realize Dyadic Wavelet Transform, makes its scope of application be subject to great restriction.
Summary of the invention
The invention provides any scale wavelet transform processor of a kind of surface acoustic wave type, solve surface acoustic wave type Binary Scale wavelet transform processor and can only realize Dyadic Wavelet Transform, problem signal processed in any centre frequency and bandwidth cannot be realized.
The technical solution adopted for the present invention to solve the technical problems is: provide a kind of surface acoustic wave type any scale wavelet transform processor, comprise piezoelectric substrate, one end of described piezoelectric substrate is provided with input transducer, and the other end is provided with output transducer; Described input transducer converts electrical signals to surface acoustic wave type wavelet transform signal, and export described output transducer to, described output transducer is for exporting electric signal formula wavelet transform signal, and described input transducer adopts the wavelet function envelope range value weighting of any yardstick.
Described input transducer adopts Morlet wavelet function envelope card weighting, wherein, the wavelet function that the yardstick of described Morlet wavelet function need be selected by pending signal-three dB bandwidth calculates and obtains.
Described output transducer is the interdigital transducer of the equal overlap of finger, uniform period.
Beneficial effect
Owing to have employed above-mentioned technical scheme, the present invention compared with prior art, there is following advantage and good effect: any scale wavelet transform of surface acoustic wave type processor of the present invention's design can process signal in any centre frequency and bandwidth, there is the characteristic designing easy and miniaturization, be widely used in radar, communication, boats and ships, sensor field.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of any scale wavelet transform processor of surface acoustic wave type.
Embodiment
Below in conjunction with specific embodiment, set forth the present invention further.Should be understood that these embodiments are only not used in for illustration of the present invention to limit the scope of the invention.In addition should be understood that those skilled in the art can make various changes or modifications the present invention, and these equivalent form of values fall within the application's appended claims limited range equally after the content of having read the present invention's instruction.
Embodiments of the present invention relate to any scale wavelet transform processor of a kind of surface acoustic wave type, as shown in Figure 1, comprise piezoelectric substrate 4, and one end of described piezoelectric substrate 4 is provided with input transducer 2, and the other end is provided with output transducer 3; Electric signal 5 is converted to surface acoustic wave type wavelet transform signal 7 by described input transducer 2, and output surface acoustic wave formula wavelet transform signal 7 is to described output transducer 3, described output transducer 3 is for exporting the wavelet transform signal 6 of electric signal formula, described input transducer 2 adopts the wavelet function envelope range value weighting of any yardstick, and described output transducer 3 is the interdigital transducer of the equal overlap of finger, uniform period.
As shown in Figure 1 be any scale wavelet transform processor of surface acoustic wave type of present embodiment, its finger length is according to Morlet wavelet function envelope range value weighting design, and namely its finger length is directly proportional to the envelope range value of selected Morlet wavelet function.The yardstick of selected Morlet wavelet function can according to selected wavelet function-three dB bandwidth tries to achieve:
The time-domain expression of the Morlet wavelet function under any yardstick is:
wherein, s is yardstick, t surface acoustic wave velocity of propagation in the devices, the f of wavelet transformer ocentre frequency.
To its Fourier transform, can obtain its frequency-domain expression is:
wherein, ω ocentered by angular velocity.
Frequency domain presentation is derived and can be obtained
s = 0.8311 π · Δf - 3 d B
In formula, s is the yardstick of wavelet transformer, Δ f -3dBfor intend select wavelet function-three dB bandwidth.
Output transducer 3 is the equal overlap of finger, evenly overlapping interdigital transducer.
If pending signal-three dB bandwidth is excessive, can by suitable for this bandwidth segmentation, ask the yardstick of each section, the multiple dimensioned any scale wavelet transform processor of surface acoustic wave type of any single scale of multiple surface acoustic wave types of the present invention wavelet transform processor parallel connection link composition is processed this signal jointly.

Claims (3)

1. any scale wavelet transform processor of surface acoustic wave type, comprises piezoelectric substrate, it is characterized in that, one end of described piezoelectric substrate is provided with input transducer, and the other end is provided with output transducer; Described input transducer converts electrical signals to surface acoustic wave type wavelet transform signal, and export described output transducer to, described output transducer is for exporting electric signal formula wavelet transform signal, and described input transducer adopts the wavelet function envelope range value weighting of any yardstick.
2. any scale wavelet transform processor of surface acoustic wave type according to claim 1, it is characterized in that, described input transducer adopts Morlet wavelet function envelope card weighting, wherein, the wavelet function that need be selected by pending signal of the yardstick of described Morlet wavelet function-three dB bandwidth calculates and obtains.
3. any scale wavelet transform processor of surface acoustic wave type according to claim 1, is characterized in that, described output transducer is the interdigital transducer of the equal overlap of finger, uniform period.
CN201510451818.XA 2015-07-28 2015-07-28 Surface acoustic wave type arbitrary-scale wavelet transformation processor Pending CN105117667A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114611533A (en) * 2022-01-28 2022-06-10 金陵科技学院 Interdigital unilateral inclined weighted surface acoustic wave type Morlet wavelet processor

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699463A (en) * 2009-11-03 2010-04-28 东华大学 Multi-scale surface acoustic wave type wavelet transform and inverse wavelet transform processor
CN102789566A (en) * 2012-07-27 2012-11-21 东华大学 Single-scale surface acoustic wave type wavelet transform processor
CN104182708A (en) * 2014-08-11 2014-12-03 东华大学 Hybrid weighting type surface acoustic wave single-scale wavelet transform processor

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101699463A (en) * 2009-11-03 2010-04-28 东华大学 Multi-scale surface acoustic wave type wavelet transform and inverse wavelet transform processor
CN102789566A (en) * 2012-07-27 2012-11-21 东华大学 Single-scale surface acoustic wave type wavelet transform processor
CN104182708A (en) * 2014-08-11 2014-12-03 东华大学 Hybrid weighting type surface acoustic wave single-scale wavelet transform processor

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LU WENKE ETAL.: "Solving three key problems of wavelet transform processor using surface acoustic wave devices", 《IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS》 *
文常保: "声表面波式小波变换器件", 《中国优秀硕士学位论文全文数据库(信息科技辑)》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114611533A (en) * 2022-01-28 2022-06-10 金陵科技学院 Interdigital unilateral inclined weighted surface acoustic wave type Morlet wavelet processor

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Application publication date: 20151202