Wavelet Transform Processor Based Surface Acoustic Wave Devices

• 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
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en15238986

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.