Convolutional Neural Networks Based Sparse Channel Estimation Algorithm for OFDM in Television Systems-Reference-Cited by-同舟云学术

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Convolutional Neural Networks Based Sparse Channel Estimation Algorithm for OFDM in Television Systems

Published:2024-03-15 Issue: Volume:50 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
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Author:

Cui Mengdi¹

Affiliation:

1. School of Theater, Film and Television Communication University of China Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515786.pdf?arnumber=10515786

Reference21 articles.

1. Zheng Zhian. An Optimization Scheme for OFDM Sparse Channel Estimation Coefficients;Junjie;Journal of Hunan University: Natural Science Edition,2023

2. Low complexity broadband MIMO-OFDM sparse channel estimation scheme based on block sparsity;Junqin;Science, Technology and Engineering,2022

3. A Large Scale MIMO-OFDM Channel Estimation Algorithm for Low Precision ADC;Debao;Journal of Tianjin University of Technology,2021

4. Guo Qiang. A Joint Channel and Pulse Noise Estimation Method for MIMO-OFDM Systems;Xinrong;Journal of Communications,2021

5. Research on channel estimation algorithms for visible light ACO-OFDM systems;Zhen;Communication Technology,2022

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