Single-scale surface acoustic wave type wavelet transform processor

Abstract

The invention provides a single-scale surface acoustic wave type wavelet transform processor which is characterized by comprising a piezoelectric substrate material, wherein an input transducer and an output transducer are manufactured on the piezoelectric substrate material; the strip area of the input transducer is designed according to the enveloping area of a single-scale Morlet dyadic wavelet function; and the output transducer is an interdigital transducer with equally-overlapped and uniform-period strips. The single-scale surface acoustic wave type wavelet transform processor provided by the invention can be used for overcoming the defects in the prior art and has a diffraction inhibition function.

Description

technical field [0001] The invention relates to a single-scale surface acoustic wave wavelet transform processor, belonging to the technical field of surface acoustic wave wavelet transform processors. Background technique [0002] The algorithm of wavelet analysis is complex, and most of its algorithm operations are currently completed in the computer, and the programming workload is heavy; some are implemented by hardware, such as optical devices, large-scale integrated circuits (VLSI), and digital signal processors. (DSP) and surface acoustic wave devices, etc. [0003] Among them, the implementation method of optical devices is affected by the cut-off frequency of optical lenses, and the application field is limited; since the invention of the method of realizing wavelet transformation with VLSI and DSP, a certain number of papers have been published every year, but the realization of wavelet transformation with VLSI and DSP The transformation methods are all based on d...

AI Technical Summary

Problems solved by technology

[0002] The algorithm of wavelet analysis is complex, and most of its algorithm operations are currently completed in the computer, and the programming workload is heavy; some are implemented by hardware, such as optical devices, large-scale integrated circuits (VLSI), and digital signal processors. (DSP) and surface acoustic wave devices, etc.

[0003] Among them, the implementation method of optical devices is affected by the cut-off frequency of optical lenses, and the application field is limited; since the invention of the method of realizing wavelet transformation with VLSI and DSP, a certain number of papers have been published every year, but the realization of wavelet transformation with VLSI and DSP The transformation methods are all based on digital methods, and the algorithm complexity and difficulty are very high

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