Neural layered min-sum decoders for cyclic codes

This paper proposes a low-complexity neural network decoder based on the layered min-sum algorithm to decode cyclic codes. By generalizing the layered min-sum algorithm to its neural network counterpart, the number of network weights decreases while retaining a good error correction performance. The...

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Vydané v:	Physical communication Ročník 61; s. 102194
Hlavní autori:	Wang, Ming, Li, Yong, Liu, Jianqing, Guo, Taolin, Wu, Huihui, Lau, Francis C.M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2023
Predmet:	Channel codes Layered min-sum algorithm Modified random redundant decoding Neural network decoders Modified random redundant decoding Neural network decoders Channel codes Layered min-sum algorithm
ISSN:	1874-4907
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