Lightweight Deep Joint Source-Channel Coding for Gauss-Markov Sources over AWGN channel-Reference-Cited by-同舟云学术

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Lightweight Deep Joint Source-Channel Coding for Gauss-Markov Sources over AWGN channel

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Wireless Communications and Networking Conference (WCNC)
language:
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Author:

Li Yishen¹,Chen Xuechen¹,Deng Xiaoheng¹

Affiliation:

1. Central South University,School of Computer Science and Engineering,Changsha,China

Funder

National Natural Science Foundation of China

Central South University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118584/10118587/10119015.pdf?arnumber=10119015

Reference16 articles.

1. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;bai,2018

2. Deep Joint Source-Channel Coding for Transmission of Correlated Sources over AWGN Channels

3. Low-Delay Prediction- and Transform-Based Wyner–Ziv Coding

4. Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders

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