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Generalized Reed-Solomon Codes with Sparsest and Balanced Generator Matrices
Conference proceeding

Generalized Reed-Solomon Codes with Sparsest and Balanced Generator Matrices

Wentu Song and Kui Cai
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1
01/01/2018

Abstract

Codes Information theory Integers Reed-Solomon codes
Conference Title: 2018 IEEE International Symposium on Information Theory (ISIT) Conference Start Date: 2018, June 17 Conference End Date: 2018, June 22 Conference Location: Vail, CO, USA We prove that for any positive integers $n$ and $k$ such that $n\geq k\geq 1$ , there exists an $[n, k]$ generalized Reed-Solomon (GRS) code that has a sparsest and balanced generator matrix (SBGM) over any finite field of size $q \geq n+\lceil\frac{k(k-1)}{n}\rceil$ , where sparsest means that each row of the generator matrix has the least possible number of nonzeros, while balanced means that the number of nonzeros in any two columns differ by at most one. Previous work by Dau et al (ISIT'13) showed that there always exists an MDS code that has an SBGM over any finite field of size $q\geq \binom{n-1}{k-1}$ I, and Halbawi et al (ISIT'16, ITW'16) showed that there exists a cyclic Reed-Solomon code (i.e., $n=q-1$ ) with an SBGM for any prime power q. Hence, this work extends both of the previous results.

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