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Modified gate activation functions of Bi-LSTM-based SC-FDMA channel equalization Cover

Modified gate activation functions of Bi-LSTM-based SC-FDMA channel equalization

Journal of Electrical Engineering
Volume 74 (2023): Issue 4 (August 2023)
By: Mohamed A. Mohamed,  Hassan A. Hassan,  Mohamed H. Essai,  Hamada Esmaiel,  Ahmed S. Mubarak and  Osama A. Omer  
Open Access
|Aug 2023

Authors

Mohamed A. Mohamed

mohammed.anbar@azhar.edu.eg

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Egypt
Aswan Faculty of Engineering, Aswan University, Egypt

Hassan A. Hassan

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Egypt
Aswan Faculty of Engineering, Aswan University, Egypt

Mohamed H. Essai

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Egypt

Hamada Esmaiel

Aswan Faculty of Engineering, Aswan University, Egypt

Ahmed S. Mubarak

Aswan Faculty of Engineering, Aswan University, Egypt

Osama A. Omer

Aswan Faculty of Engineering, Aswan University, Egypt
DOI: https://doi.org/10.2478/jee-2023-0032 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 256 - 266
Submitted on: Mar 28, 2023
|
Published on: Aug 29, 2023
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
artificial neural networks,
activation functions,
channel equalization,
symbol detection,
bidirectional long short-term memory,
recurrent neural networks
Related subjects:
Engineering,
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© 2023 Mohamed A. Mohamed, Hassan A. Hassan, Mohamed H. Essai, Hamada Esmaiel, Ahmed S. Mubarak, Osama A. Omer, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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