Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM

We present a deep learning based joint source channel coding (JSCC) scheme for wireless image transmission over multipath fading channels with non-linear signal clipping. The proposed encoder and decoder use convolutional neural networks (CNN) and directly map the source images to complex-valued bas...

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Veröffentlicht in:	IEEE International Conference on Communications (2003) S. 1 - 6
Hauptverfasser:	Yang, Mingyu, Bian, Chenghong, Kim, Hun-Seok
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2021
Schlagworte:	Baseband Deep learning deep neural net-works Fading channels Image communication Joint source channel coding model-driven machine learning OFDM Training Wireless communication
ISSN:	1938-1883
Online-Zugang:	Volltext
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