Abstract: Recent studies in joint source-channel coding (JSCC) have fostered a fresh paradigm in end-to-end semantic communication. Despite notable performance achievements, present initiatives in ...
Abstract: In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that can closely adapt to the source distribution under the nonlinear transform, it can be ...
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The paradigm shift from manual to automatic feature extraction in a host of machine learning tasks including speech recognition 6 and image classification 7 has demonstrated the advantage of allowing ...
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