LAPSE:2023.7443
Published Article
LAPSE:2023.7443
Wavelet Transform Processor Based Surface Acoustic Wave Devices
Hagar A. Ali, Moataz M. Elsherbini, Mohamed I. Ibrahem
February 24, 2023
Abstract
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.
Keywords
BAW, IDT, IL, SAW, SER, VLSI, WTP
Suggested Citation
Ali HA, Elsherbini MM, Ibrahem MI. Wavelet Transform Processor Based Surface Acoustic Wave Devices. (2023). LAPSE:2023.7443
Author Affiliations
Ali HA: Department of Communications and Electronics Engineering, October High Institute for Engineering and Technology, Giza 12573, Egypt
Elsherbini MM: Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo 11672, Egypt; Department of Electrical Engineering, The Egyptian Academy of Engineering and Advanced Technology (EAEAT), El Nahda City 11825, Egypt [ORCID]
Ibrahem MI: Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo 11672, Egypt; Department of Cyber Security Engineering, George Mason University, Fairfax, VA 22030, USA
Journal Name
Energies
Volume
15
Issue
23
First Page
8986
Year
2022
Publication Date
2022-11-28
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15238986, Publication Type: Review
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LAPSE:2023.7443
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https://doi.org/10.3390/en15238986
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