Wavelet Transform Processor Based Surface Acoustic Wave Devices

Wavelet Transform Processor Based Surface Acoustic Wave Devices

Due to their numerous advantages, Wavelet transform processor-based acoustic wave devices constitute an interesting approach for various engineering disciplines, such as signal analysis, speech synthesis, image recognition and atmospheric and ocean wave analysis. The major aim of this paper is to re...

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Bibliographic Details
Published in:Energies (Basel) Vol. 15; no. 23; p. 8986
Main Authors: Ali, Hagar A., Elsherbini, Moataz M., Ibrahem, Mohamed I.
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-12-2022
Subjects:
Acoustic surface wave devices
Acoustics
Algorithms
Applied mathematics
Attenuation
BAW
Crystals
Data compression
Design and construction
Fourier transforms
IDT
Image processing
Insertion loss
Localization
Mathematical models
Methods
Microprocessors
Ocean waves
Reproducibility
SAW
SER
Sidelobes
Signal analysis
Signal processing
Speech recognition
Surface acoustic wave devices
VLSI
Wave analysis
Wavelet transforms
WTP
Egypt
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Summary:Due to their numerous advantages, Wavelet transform processor-based acoustic wave devices constitute an interesting approach for various engineering disciplines, such as signal analysis, speech synthesis, image recognition and atmospheric and ocean wave analysis. The major aim of this paper is to review the most recent methods for implementing wavelet transform processor-based surface acoustic wave devices. Accordingly, the goal of this paper is to compare different models, and it will provide a generalized model with small insertion loss values and side lobe attenuation, making it suitable for designing multiplexer filter banks and also to ease the way for the continued evolution of device design. In this paper, a generalized framework on surface acoustic wave devices is presented in terms of mathematical equations, types of materials, crystals types, and interdigital transducer design in addition to addressing some relevant problems.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15238986