arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2403.05893cs.ITmath.IT
收藏

通过采样估计Reed-Muller码的重量枚举式

Estimating the Weight Enumerators of Reed-Muller Codes via Sampling

Shreyas Jain, V. Arvind Rameshwar, Navin Kashyap

AI总结:

本文提出一种基于自旋系统配分函数估计与Gibbs分布采样的算法,用于估计中等码长Reed-Muller码的重量枚举式与重量谱,在已知/可暴力计算场景下估计精度接近真实值,还给出了此前未知的RM$(11,5)$码重量枚举式估计等结果。

摘要:

本文提出了一种获取Reed-Muller(RM)码重量枚举式估计值的算法方法。我们的算法基于一种估计自旋系统配分函数的技术,该技术又采用了一个采样器,该采样器根据适当定义的Gibbs分布生成码字。我们将方法应用于中等码长的RM码,推导了其重量枚举式的近似值。我们观察到,当重量枚举式的速率已知或可通过暴力搜索计算时,我们的方法返回的估计速率与真实速率接近;在其他情况下,我们的计算提供了可证明鲁棒的估计。作为副产品,我们的采样算法还使我们能够获得RM码重量谱的估计值。我们通过提供此前未知的RM$(11,5)$码的重量枚举式估计值,以及RM$(10,3)$和RM$(10,4)$码的精确重量谱,对我们的方法进行了说明。

英文摘要:

This paper develops an algorithmic approach for obtaining estimates of the weight enumerators of Reed-Muller (RM) codes. Our algorithm is based on a technique for estimating the partition functions of spin systems, which in turn employs a sampler that produces codewords according to a suitably defined Gibbs distribution. We apply our method to moderate-blocklength RM codes and derive approximate values of their weight enumerators. We observe that the rates of the weight enumerator estimates returned by our method are close to the true rates when these rates are either known or computable by brute-force search; in other cases, our computations provide provably robust estimates. As a byproduct, our sampling algorithm also allows us to obtain estimates of the weight spectra of RM codes. We illustrate our methods by providing estimates of the hitherto unknown weight enumerators of the RM$(11,5)$ code and the exact weight spectra of the RM$(10,3)$ and RM$(10,4)$ codes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑