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Wavelet Transform Processor Based Surface Acoustic Wave Devices

Author

Listed:
  • Hagar A. Ali

    (Department of Communications and Electronics Engineering, October High Institute for Engineering and Technology, Giza 12573, Egypt)

  • Moataz M. Elsherbini

    (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)

  • Mohamed I. Ibrahem

    (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)

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.

Suggested Citation

  • Hagar A. Ali & Moataz M. Elsherbini & Mohamed I. Ibrahem, 2022. "Wavelet Transform Processor Based Surface Acoustic Wave Devices," Energies, MDPI, vol. 15(23), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8986-:d:986531
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    References listed on IDEAS

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    1. Bilgili, Faik & Lorente, Daniel Balsalobre & Kuşkaya, Sevda & Ünlü, Fatma & Gençoğlu, Pelin & Rosha, Pali, 2021. "The role of hydropower energy in the level of CO2 emissions: An application of continuous wavelet transform," Renewable Energy, Elsevier, vol. 178(C), pages 283-294.
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    Cited by:

    1. Reza Bazghandi & Mohammad Hoseintabar Marzebali & Vahid Abolghasemi & Shahin Hedayati Kia, 2023. "A Novel Mode Un-Mixing Approach in Variational Mode Decomposition for Fault Detection in Wound Rotor Induction Machines," Energies, MDPI, vol. 16(14), pages 1-17, July.

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    Keywords

    WTP; VLSI; SAW; IDT; SER; BAW; IL;
    All these keywords.

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