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Published in 2024 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2024.3422176
Abstract: This letter investigates the challenges encountered by deep joint source-channel coding in erasure channels. We explore the effectiveness of the widely adopted dropout technique in endowing deep neural networks with resilience against erasures. However, directly…
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Keywords:
joint source;
channel coding;
polarized dropout;
deep joint ... See more keywords