Abstract: Distributed joint source-channel coding (DJSCC) refers to the correlated sources which are encoded separately and reconstructed in the centre node by joint decoding. Therefore, the ...
Abstract: Training deep learning (DL) models to address channel coding tasks has drawn increasing attention, a paradigm referred to as “learning to decode”. By constructing Tanner graphs based on ...
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