A Deep Learning-Based Approach for Channel Estimation and Equalization for Cognitive Radio Systems-Reference-Cited by-同舟云学术

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A Deep Learning-Based Approach for Channel Estimation and Equalization for Cognitive Radio Systems

Published:2023 Issue: Volume: Page:465-480
ISSN:2195-4356
Container-title:Advanced Engineering Optimization Through Intelligent Techniques
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Author:

Shah Rinkita,Kakde Bhagwat

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9285-8_45

Reference17 articles.

1. Varma DS, Kanvitha P, Subhashini KR (2019) Adaptive channel equalization using teaching learning based optimization. In: 2019 International conference on communication and signal processing (ICCSP), pp 1–6. https://doi.org/10.1109/ICCSP.2019.8697932

2. Liu J, Mei K, Zhang X, Ma D, Wei J (2019) Online extreme learning machine-based channel estimation and equalization for OFDM systems. IEEE Commun Lett 23(7):1276–1279. https://doi.org/10.1109/LCOMM.2019.2916797

3. Muthulakshmi S, Jose R (2019) Signal demodulation without channel equalizer using machine learning techniques. In: 2019 2nd International conference on intelligent computing, instrumentation and control technologies (ICICICT), pp 1247–1252. https://doi.org/10.1109/ICICICT46008.2019.8993353

4. Singh S, Das I, Mohiuddin MG, Banerjee A, Gupta S (2019) Design and implementation of Gabor filter and SVM based authentication system using machine learning. In: 2019 Devices for integrated circuit (DevIC), pp 196–201. https://doi.org/10.1109/DEVIC.2019.8783650

5. Caciularu A, Burshtein D (2018) Blind channel equalization using variational autoencoders. In: 2018 IEEE international conference on communications workshops (ICC Workshops), pp 1–6. https://doi.org/10.1109/ICCW.2018.8403666

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