Constructions of MDS codes via random Vandermonde and Cauchy matrices over small fields

Son Hoang Dau, Wentu Song, A. Sprintson, C. Yuen
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引用次数: 4

Abstract

Vandermonde and Cauchy matrices are commonly used in the constructions of maximum distance separable (MDS) codes. However, when additional design constraints are imposed on the code construction in addition to the MDS requirement, a Vandermonde or Cauchy matrix may not always suffice. We discuss some related coding problems of that nature that arise in different practical settings. We present a useful technique to tackle the constrained coding problems that includes random selection of the evaluation points of a Vandermonde or a Cauchy matrix. Our solutions require small finite fields whose sizes are polynomial in the dimensions of the generator matrices. We believe that this technique will be useful for solving a broad range of coding problems.
在小域上通过随机Vandermonde和Cauchy矩阵构造MDS码
范德蒙矩阵和柯西矩阵是最大距离可分离码的常用构造方法。然而,当除了MDS要求之外,在代码构造上施加额外的设计约束时,Vandermonde或Cauchy矩阵可能并不总是足够的。我们讨论了在不同的实际环境中出现的一些相关的编码问题。我们提出了一种有用的技术来解决约束编码问题,包括随机选择Vandermonde矩阵或Cauchy矩阵的评估点。我们的解决方案需要小的有限域,其大小是生成器矩阵维数的多项式。我们相信,这种技术将有助于解决广泛的编码问题。
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