Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication

Semantic communication is a newly emerged communication paradigm that exploits deep learning (DL) models to realize communication processes like source coding and channel coding. Recent advances have demonstrated that DL-based joint source-channel coding (DeepJSCC) can achieve exciting data compress...

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Vydané v:	IEEE transactions on wireless communications Ročník 22; číslo 8; s. 1
Hlavní autori:	Zhang, Wenyu, Zhang, Haijun, Ma, Hui, Shao, Hua, Wang, Ning, Leung, Victor C. M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Bandwidths Codes Communication Compression ratio Data compression Data models Encoding Image coding Image communication Image compression Image transmission joint source channel coding Keywords: Adaptive code length Noise Noise prediction Optimization quality prediction semantic communication Semantics Signal to noise ratio Wireless communication wireless image transmission
ISSN:	1536-1276, 1558-2248
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