利用我们的GU码构造二、三和少权码及其应用

IF 0.6 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Arrieta A Eddie, Heeralal Janwa
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引用次数: 0

摘要

具有少量权重的线性码在密码学、关联方案、设计、强正则图、有限群论、有限几何和秘密共享方案以及其他学科中都有应用。双权重线性码特别有趣,因为它们与不同数学领域的对象密切相关,例如强正则图、3秩置换群、椭圆和圆弧。目前已有构造少权线性码的技术,如Calderbank和Kantor (Bull lang Math Soc 18(2):97 - 122,1986)的系统论述。Ding et al., (World Sci, pp 119-124, 2008)和(IEEE Trans Inf Theory 61(11): 5835-5842, 2015)使用跟踪函数构建了少权码,Tonchev et al. (Algorithms, 12(8), 2019)推广了Ding的构造。本文给出了从单纯形码和对映线性码中得到二权码和三权码的一种基本方法。一个有趣的应用是由二权码构造均匀填充线性码和由三权码构造四元拟完美线性码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new construction of two-, three- and few-weight codes via our GU codes and their applications

Linear codes with few weights have applications in cryptography, association schemes, designs, strongly regular graphs, finite group theory, finite geometries, and secret sharing schemes, among other disciplines. Two-weight linear codes are particularly interesting because they are closely related to objects in different areas of mathematics such as strongly regular graphs, 3-rank permutation groups, ovals, and arcs. There exist techniques to construct linear codes with few weights, for example, the systematic exposition by Calderbank and Kantor (Bull Lond Math Soc 18(2):97–122, 1986). Ding et al., (World Sci, pp 119–124, 2008) and (IEEE Trans Inf Theory 61(11):5835–5842, 2015) constructed few-weight codes using the trace function and Tonchev et al. (Algorithms, 12(8), 2019) generalized Ding’s construction. In this paper, we present an elementary way to get two- and three-weight codes from simplex codes and antipodal linear codes. An interesting application is the construction of uniformly packed linear codes from two-weight codes and quaternary quasi-perfect linear codes from three-weight codes.

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来源期刊
Applicable Algebra in Engineering Communication and Computing
Applicable Algebra in Engineering Communication and Computing 工程技术-计算机:跨学科应用
CiteScore
2.90
自引率
14.30%
发文量
48
审稿时长
>12 weeks
期刊介绍: Algebra is a common language for many scientific domains. In developing this language mathematicians prove theorems and design methods which demonstrate the applicability of algebra. Using this language scientists in many fields find algebra indispensable to create methods, techniques and tools to solve their specific problems. Applicable Algebra in Engineering, Communication and Computing will publish mathematically rigorous, original research papers reporting on algebraic methods and techniques relevant to all domains concerned with computers, intelligent systems and communications. Its scope includes, but is not limited to, vision, robotics, system design, fault tolerance and dependability of systems, VLSI technology, signal processing, signal theory, coding, error control techniques, cryptography, protocol specification, networks, software engineering, arithmetics, algorithms, complexity, computer algebra, programming languages, logic and functional programming, algebraic specification, term rewriting systems, theorem proving, graphics, modeling, knowledge engineering, expert systems, and artificial intelligence methodology. Purely theoretical papers will not primarily be sought, but papers dealing with problems in such domains as commutative or non-commutative algebra, group theory, field theory, or real algebraic geometry, which are of interest for applications in the above mentioned fields are relevant for this journal. On the practical side, technology and know-how transfer papers from engineering which either stimulate or illustrate research in applicable algebra are within the scope of the journal.
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