CN105117668A - Envelope amplitude weighting type wavelet transformation processor with diffraction inhibition function - Google Patents

Envelope amplitude weighting type wavelet transformation processor with diffraction inhibition function Download PDF

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Publication number
CN105117668A
CN105117668A CN201510451820.7A CN201510451820A CN105117668A CN 105117668 A CN105117668 A CN 105117668A CN 201510451820 A CN201510451820 A CN 201510451820A CN 105117668 A CN105117668 A CN 105117668A
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China
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wavelet transform
diffraction
energy converter
transform processor
range value
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CN201510451820.7A
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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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Abstract

The invention relates to an envelope amplitude weighting type wavelet transformation processor with a diffraction inhibition function, which comprises a piezoelectric substrate. 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 wavelet function envelope amplitude weights after a BILR coupling correcting method. The output energy converter is an interdigital energy converter characterized by finger equal overlapping and uniform period. The diffraction problem existing in a conventional surface acoustic wave type wavelet transformation processor is solved. The problem that a conventional input energy converter adopting a finger area weighting type or envelope amplitude weighting and area weighting mixed weighting type interdigital energy converter has an excessively large volume is further solved.

Description

One has diffraction inhibit feature envelope range value weighting type wavelet transform processor
Technical field
The present invention relates to wavelet transform process technical field, particularly relate to one and there is diffraction inhibit feature envelope range value weighting type wavelet transform processor.
Background technology
Wavelet analysis technology has been advanced to new epoch the development of signal processing theory, the research relating to related fields is also a lot, but all ubiquity common problems: the method comparison of wavelet analysis is complicated, and main by completing in a computer, and thus programing work amount is very large.Also some researchists 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 transformation, also solve many practical problemss, but due to current technology ripe not enough, and expensive, in addition need the feature of a large amount of peripheral components and active property thereof, make its dirigibility and popularization be subject to great restriction.Thus, some scientific research personnel 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 first proposed 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.
In current existing document the input transducer overwhelming majority of surface acoustic wave type wavelet transform processor be interdigital transducer, its finger envelope, 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.When sound aperture is less, there is serious Diffraction Problems in this weighting scheme.
Comparatively large (the i.e. R > > λ of sound aperture R, λ is the wavelength of surface acoustic wave) time, surface acoustic wave is propagated at Fresnel region substantially, Diffraction Problems can be ignored substantially, and its finger envelope can directly design according to the weighting of Morlet binary wavelet function envelope.When sound aperture R is less (R < λ), have serious Diffraction Problems, during the design of its finger envelope, the impact of diffraction on device frequency response must be considered.
In order to solve Diffraction Problems, the interdigital transducer of the mixed weighting type that the input transducer of surface acoustic wave type wavelet transform processor adopts finger Area-weighted or Area-weighted and envelope range value weighting to combine mostly in existing document, but adopt the interdigital transducer design comparison of these two kinds of modes complicated.
Summary of the invention
The invention provides one and there is diffraction inhibit feature envelope range value weighting type wavelet transform processor, solve the problem that traditional sound surface surface acoustic wave type wavelet transform processor exists diffraction, and the problem that input transducer adopts the device volume of the interdigital transducer of finger Area-weighted type or envelope range value weighted sum Area-weighted mixed weighting type excessive.
The technical solution adopted for the present invention to solve the technical problems is: provide one to have diffraction inhibit feature envelope range value weighting type 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, described input transducer adopts the wavelet function envelope range value weighting after BILR correct methods matching, and described output transducer is the interdigital transducer of the equal overlap of finger, uniform period.
The finger length of described input transducer utilizes BLIR correct methods matching respectively the aperture of the wavelet transform processor of primary election, phase place to be made to successive ignition and corrected the finger length after with the diffraction effect compensating described wavelet transform processor.
Desirable frequency response in described BLIR correct methods matching refers to the output response function obtained by the δ model that the aperture of the wavelet transform processor of primary election, aperture location and phase place substitute into SAW (Surface Acoustic Wave) device.
Diffraction frequency response in described BLIR correct methods matching refers to the parabola model aperture of the wavelet transform processor of primary election, aperture location and phase place being substituted into diffractional field and the output response function obtained.
The primary election finger length of described input transducer is directly proportional to the envelope range value of Morlet wavelet function.
Beneficial effect
Owing to have employed above-mentioned technical scheme, the present invention compared with prior art, there is following advantage and good effect: the surface acoustic wave type wavelet transform processor of the present invention's design has the function of significantly suppression diffraction and designs easy, the characteristic that volume is little, is applicable to radar, communication, boats and ships, sensor field.
Accompanying drawing explanation
Fig. 1 is the finger envelope schematic diagram of the interdigital transducer after utilizing BILR matching process to correct;
Fig. 2 utilizes BILR matching process to carry out the process flow diagram of diffraction compensation to surface acoustic wave type wavelet transform processor.
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 one and have diffraction inhibit feature envelope range value weighting type wavelet transform processor, 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 after BILR correct methods matching, and described output transducer 3 is the interdigital transducer of the equal overlap of finger, uniform period.
The output frequency response of the surface acoustic wave type wavelet transform processor in present embodiment can be divided into the desirable frequency response not considering Diffraction Problems and the diffraction frequency response considering Diffraction Problems.Wherein, the desirable frequency response in described BLIR correct methods matching refers to the output response function obtained by the δ model that the aperture of the wavelet transform processor of primary election, aperture location and phase place substitute into SAW (Surface Acoustic Wave) device.Diffraction frequency response in described BLIR correct methods matching refers to the parabola model aperture of the wavelet transform processor of primary election, aperture location and phase place being substituted into diffractional field and the output response function obtained.
The finger length of the input transducer of the surface acoustic wave type wavelet transform processor finger envelope range value weighting adopting classic method (being directly proportional to the envelope range value of Morlet wavelet function) to design designed, finger position and phase place as initial aperture Y, and are revised aperture according to the following steps:
(1) calculated the desirable frequency response Hi of device to be designed by initial aperture Y, then obtain hi (t) to Hi inversefouriertransform, sampling obtains Yi.Obvious Y and Yi is slightly different;
(2) Y=Yi is made;
(3) diffraction frequency response Hd is calculated by aperture Y;
(4) hd (t) is obtained to Hd inversefouriertransform, and then sampling obtains Yd;
(5) size in each aperture is revised.
y' n=y n+a(yi n-yd n),n=1,2,…,N
Wherein, a is compensating factor, generally gets 0.5.
(6) make Y=Yd, recalculate diffraction frequency response Hd, its spectral characteristic should make moderate progress, if still can not meet the demands, then returns step (4).
The design of this method is utilized to have the step of the input transducer of the surface acoustic wave type wavelet transform processor of diffraction compensation function as shown in Figure 2, as can be seen here, the finger length of described input transducer utilizes BLIR correct methods matching respectively the aperture of the wavelet transform processor of primary election, phase place to be made to successive ignition and corrected the finger length after with the diffraction effect compensating described wavelet transform processor.
In present embodiment, output transducer is the equal overlap of finger, evenly overlapping interdigital transducer.
Adopt aforesaid way can produce the finger envelope card weighting type surface acoustic wave type wavelet transform processor after considering diffraction effect.
Multiple above-mentioned surface acoustic wave type single scale wavelet transform processor with diffraction inhibit feature is connected in parallel and just can obtains the multiple dimensioned surface acoustic wave type wavelet transform processor with diffraction inhibit feature.

Claims (5)

1. have a diffraction inhibit feature envelope range value weighting type wavelet transform processor, comprise 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, described input transducer adopts the wavelet function envelope range value weighting after BILR correct methods matching, and described output transducer is the interdigital transducer of the equal overlap of finger, uniform period.
2. according to claim 1 have diffraction inhibit feature envelope range value weighting type wavelet transform processor, it is characterized in that, the finger length of described input transducer utilizes BLIR correct methods matching respectively the aperture of the wavelet transform processor of primary election, phase place to be made to successive ignition and corrected the finger length after with the diffraction effect compensating described wavelet transform processor.
3. according to claim 1 have diffraction inhibit feature envelope range value weighting type wavelet transform processor, it is characterized in that, the desirable frequency response in described BLIR correct methods matching refers to the output response function obtained by the δ model that the aperture of the wavelet transform processor of primary election, aperture location and phase place substitute into SAW (Surface Acoustic Wave) device.
4. according to claim 1 have diffraction inhibit feature envelope range value weighting type wavelet transform processor, it is characterized in that, the diffraction frequency response in described BLIR correct methods matching refers to the parabola model aperture of the wavelet transform processor of primary election, aperture location and phase place being substituted into diffractional field and the output response function obtained.
5. described have diffraction inhibit feature envelope range value weighting type wavelet transform processor according to arbitrary in claim 2-4, it is characterized in that, the primary election finger length of described input transducer is directly proportional to the envelope range value of Morlet wavelet function.
CN201510451820.7A 2015-07-28 2015-07-28 Envelope amplitude weighting type wavelet transformation processor with diffraction inhibition function Pending CN105117668A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114337583A (en) * 2021-12-03 2022-04-12 中国科学院上海微系统与信息技术研究所 Acoustic surface wave resonator
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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EP0476382A1 (en) * 1990-08-29 1992-03-25 Canon Kabushiki Kaisha Surface acoustic wave element provided with output transducer split into a plurality of portions, and communication system using the same
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EP0476382A1 (en) * 1990-08-29 1992-03-25 Canon Kabushiki Kaisha Surface acoustic wave element provided with output transducer split into a plurality of portions, and communication system using the same
CN1300106A (en) * 2001-01-19 2001-06-20 西安交通大学 Analogue wavelet converting device
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114337583A (en) * 2021-12-03 2022-04-12 中国科学院上海微系统与信息技术研究所 Acoustic surface wave resonator
CN114337583B (en) * 2021-12-03 2024-03-29 中国科学院上海微系统与信息技术研究所 Surface acoustic wave resonator
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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