A Projection Decoding of a Binary Extremal Self-Dual Code of Length $40$
Abstract
As far as we know, there is no decoding algorithm of any binary self-dual code except for the syndrome decoding applied to the code directly. This syndrome decoding for a binary self-dual code is not efficient in the sense that it cannot be done by hand due to a large syndrome table. The purpose of this paper is to give two new efficient decoding algorithms for an extremal binary doubly-even self-dual code by hand with the help of a Hermitian self-dual code over . The main idea of this decoding is to project codewords of onto so that it reduces the complexity of the decoding of . The first algorithm is called the representation decoding algorithm. It is based on the pattern of codewords of . Using certain automorphisms of , we show that only eight types of codewords of can produce all the codewords of . The second algorithm is called the syndrome decoding algorithm based on . It first solves the syndrome equation in and finds a corresponding binary codeword of .
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Cite
@article{arxiv.1701.04180,
title = {A Projection Decoding of a Binary Extremal Self-Dual Code of Length $40$},
author = {Jon-Lark Kim and Nari Lee},
journal= {arXiv preprint arXiv:1701.04180},
year = {2017}
}
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23 pages