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IEEE International Symposium on Information Theory (ISIT)

On polylogarithmic decoding complexity for reed-muller codes

Ilya I. Dumer

Published Dec 23, 2004• 1 citation
Publisher

Abstract

For Reed-Muller (RM) codes of length n and distance d, a recursive decoding algorithm is designed that has complexity of order nlogn for any fixed rate R, and corrects most error patterns of weight up to (dlnd)/2 on the binary symmetric channels (BSC) and up to (2dlnd)/pi on the AWGN channels. For long RM codes of fixed order r, a vanishing decoding error probability and polylogarithmic decoding complexity of order (logn)r+1are obtained on the BSC given any transition probability p that is bounded away from 1/2

DOI
10.1109/isit.2004.1365364

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Reed-Muller (RM) codes (m, r) of length 2/sup m/ are considered on a binary symmetric (BS) channel with high crossover error probability 1/2 -/spl epsiv/. For an arbitrarily small /spl epsiv/>0, new recursive decoding algorithms are designed that retrieve all information bits of RM codes of fixed order r with a vanishing error probability and sublinear complexity of order O(m/sup r+1/). The algorithms utilize a vanishing fraction of the received symbols for both hard- and soft-decision decoding.