An Improvement for Error-Correcting Pairs of Some Special MDS Codes

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Rui Xiao, Qunying Liao
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引用次数: 0

Abstract

The error-correcting pair is a general algebraic decoding method for linear codes. Since every linear code is contained in an MDS linear code with the same minimum distance over some finite field extensions, we focus on MDS linear codes. Recently, He and Liao showed that for an MDS linear code [Formula: see text] with minimum distance [Formula: see text], if it has an [Formula: see text]-error-correcting pair, then the parameters of the pair have three possibilities. Moreover, for the first case, they gave a necessary condition for an MDS linear code [Formula: see text] with minimum distance [Formula: see text] to have an [Formula: see text]-error-correcting pair, and for the other two cases, they only gave some counterexamples. For the second case, in this paper, we give a necessary condition for an MDS linear code [Formula: see text] with minimum distance [Formula: see text] to have an [Formula: see text]-error-correcting pair, and then basing on the Product Singleton Bound, we prove that there are two cases for such pairs, and then give some counterexamples basing on twisted generalized Reed–Solomon codes for these cases.
某些特殊 MDS 编码纠错对的改进
纠错对是线性编码的一般代数译码方法。由于每个线性码都包含在某个有限域扩展上具有相同最小距离的 MDS 线性码中,因此我们重点研究 MDS 线性码。最近,He 和 Liao 证明,对于具有最小距离[公式:见正文]的 MDS 线性码[公式:见正文],如果它有一个[公式:见正文]纠错对,那么纠错对的参数有三种可能。此外,对于第一种情况,他们给出了具有最小距离[公式:见正文]的 MDS 线性编码[公式:见正文]具有[公式:见正文]-纠错对的必要条件,而对于其他两种情况,他们只给出了一些反例。对于第二种情况,本文给出了具有最小距离[式:见正文]的 MDS 线性码[式:见正文]具有[式:见正文]纠错对的必要条件,然后根据积单子约束证明了这种纠错对有两种情况,并根据这些情况给出了一些基于扭曲广义里德-所罗门码的反例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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