most citedRethinking: Deep-learning-based Demodulation and Decoding

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.IT2022★ 2 cited

Rethinking: Deep-learning-based Demodulation and Decoding

Boxiang He, Zitao Wu, Fanggang Wang

In this paper, we focus on the demodulation/decoding of the complex modulations/codes that approach the Shannon capacity. Theoretically, the maximum likelihood (ML) algorithm can a…