Applicability of single- and two-hidden-layer neural networks in decoding linear block codes

2021 29th Telecommunications Forum (TELFOR)（2021）

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摘要

In this paper, we analyze applicability of single- and two-hidden-layer feed-forward artificial neural networks, SLFNs and TLFNs, respectively, in decoding linear block codes. Based on the provable capability of SLFNs and TLFNs to approximate discrete functions, we discuss sizes of the network capable to perform maximum likelihood decoding. Furthermore, we propose a decoding scheme, which use arti...

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关键词

Deep learning,Artificial neural networks,Parity check codes,Complexity theory,Telecommunications,Block codes,Maximum likelihood decoding

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