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arXiv 2202.03472cs.ITeess.SPmath.IT
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具有大最小距离的二进制码尺寸的新界

New Bounds on the Size of Binary Codes with Large Minimum Distance

James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan

AI总结:

本文研究了二进制码在大最小距离下的尺寸界,提出了改进的循环码构造方法,在特定范围内超越DG码取得最佳下界,并利用傅里叶分析获得优于Barg-Nogin的多项式级上界。

摘要:

令$A(n, d)$表示长度为$n$且最小汉明距离为$d$的二进制码的最大尺寸。研究$A(n, d)$,包括确定其值以及为大$n$推导$A(n, d)$的界,是编码理论中最基础的课题之一。在本文中,我们探讨了在大最小距离机制下$A(n, d)$的新下界和上界,特别是当$d = n/2 - Ω(\sqrt{n})$时。我们首先提供了一种循环码的新构造,通过在二进制扩展域中为校验多项式仔细选择特定的根,其长度为$n= 2^m -1$,距离$d \geq n/2 - 2^{c-1}\sqrt{n}$,尺寸为$n^{c+1/2}$,适用于任何$m\geq 4$以及任何满足$0 \leq c \leq m/2 - 1$的整数$c$。这些码参数略差于Delsarte--Goethals (DG)码,后者提供了大最小距离机制下先前已知的最佳下界。然而,使用类似且扩展的码构造技术,我们展示了一系列改进DG码的循环码,并在更窄的最小距离$d$范围内提供了最佳下界,特别是当$d = n/2 - Ω(n^{2/3})$时。此外,通过利用Delsarte线性规划的傅里叶分析视角,获得了$A(n, n/2 - ρ\sqrt{n})$(其中$ρ\in (0.5, 9.5)$)在$n$上多项式缩放的上界。据作者所知,Barg和Nogin \cite{barg2006spectral}提出的上界是该机制下先前已知唯一在$n$上多项式缩放的上界。我们以数值方式证明,在指定的高最小距离机制下,我们的上界优于Barg-Nogin上界。

英文摘要:

Let $A(n, d)$ denote the maximum size of a binary code of length $n$ and minimum Hamming distance $d$. Studying $A(n, d)$, including efforts to determine it as well to derive bounds on $A(n, d)$ for large $n$'s, is one of the most fundamental subjects in coding theory. In this paper, we explore new lower and upper bounds on $A(n, d)$ in the large-minimum distance regime, in particular, when $d = n/2 - Ω(\sqrt{n})$. We first provide a new construction of cyclic codes, by carefully selecting specific roots in the binary extension field for the check polynomial, with length $n= 2^m -1$, distance $d \geq n/2 - 2^{c-1}\sqrt{n}$, and size $n^{c+1/2}$, for any $m\geq 4$ and any integer $c$ with $0 \leq c \leq m/2 - 1$. These code parameters are slightly worse than those of the Delsarte--Goethals (DG) codes that provide the previously known best lower bound in the large-minimum distance regime. However, using a similar and extended code construction technique we show a sequence of cyclic codes that improve upon DG codes and provide the best lower bound in a narrower range of the minimum distance $d$, in particular, when $d = n/2 - Ω(n^{2/3})$. Furthermore, by leveraging a Fourier-analytic view of Delsarte's linear program, upper bounds on $A(n, n/2 - ρ\sqrt{n})$ with $ρ\in (0.5, 9.5)$ are obtained that scale polynomially in $n$. To the best of authors' knowledge, the upper bound due to Barg and Nogin \cite{barg2006spectral} is the only previously known upper bound that scale polynomially in $n$ in this regime. We numerically demonstrate that our upper bound improves upon the Barg-Nogin upper bound in the specified high-minimum distance regime.

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