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A hybrid decoding of Reed–Muller codes
Author(s) -
Shuang Li,
Shicheng Zhang,
Zhenxing Chen,
Seog Geun Kang
Publication year - 2017
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147716683406
Subject(s) - computer science , decoding methods , algorithm , hadamard transform , berlekamp–welch algorithm , code (set theory) , sequential decoding , list decoding , concatenated error correction code , block code , mathematics , mathematical analysis , set (abstract data type) , programming language
In this article, a hybrid decoding algorithm for Reed–Muller codes is presented. Unlike the conventional algorithm, the presented algorithm ends recursive decomposition when R(1,m) and R(m−1,m) appeared. A simplified maximum-likelihood algorithm based on fast Hadamard transform is also exploited to decode the systematic code through its special structure. As a result, the presented hybrid decoding algorithm reduces the number of floating-point multiplications significantly as compared with the conventional algorithms. In addition, the new algorithm has better error performance than the conventional ones.

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