Decoding Algorithms for Twisted GRS Codes

Fuente: arXiv
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Autori principali: Zhang, Guanghui, Lin, Liren, Chen, Bocong
Natura: Preprint
Pubblicazione: 2025
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author Zhang, Guanghui
Lin, Liren
Chen, Bocong
author_facet Zhang, Guanghui
Lin, Liren
Chen, Bocong
contents Twisted generalized Reed-Solomon (TGRS) codes were introduced to extend the algebraic capabilities of classical generalized Reed-Solomon (GRS) codes. This extension holds the potential for constructing new non-GRS maximum distance separable (MDS) codes and enhancing cryptographic security. It is known that TGRS codes with $1$ twist can either be MDS or near-MDS. In this paper, we employ the Gaussian elimination method to propose new decoding algorithms for MDS TGRS codes with parameters $[n,k,n-k+1]$. The algorithms can correct up to $\lfloor \frac{n-k}{2}\rfloor$ errors when $n-k$ is odd, and $\lfloor \frac{n-k}{2}\rfloor-1$ errors when $n-k$ is even. The computational complexity for both scenarios is $O(n^3)$. %, where $ω\approx 2.37286$ is the matrix multiplication exponent. Our approach diverges from existing methods based on Euclidean algorithm and addresses situations that have not been considered in the existing literature \cite{SYJL}. Furthermore, this method is also applicable to decoding near-MDS TGRS codes with parameters $[n, k, n-k]$, enabling correction of up to $\lfloor \frac{n-k-1}{2} \rfloor$ errors, while maintaining polynomial time complexity in $n$.
format Preprint
id arxiv_https___arxiv_org_abs_2508_03552
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Decoding Algorithms for Twisted GRS Codes
Zhang, Guanghui
Lin, Liren
Chen, Bocong
Information Theory
94B05, 94B65
Twisted generalized Reed-Solomon (TGRS) codes were introduced to extend the algebraic capabilities of classical generalized Reed-Solomon (GRS) codes. This extension holds the potential for constructing new non-GRS maximum distance separable (MDS) codes and enhancing cryptographic security. It is known that TGRS codes with $1$ twist can either be MDS or near-MDS. In this paper, we employ the Gaussian elimination method to propose new decoding algorithms for MDS TGRS codes with parameters $[n,k,n-k+1]$. The algorithms can correct up to $\lfloor \frac{n-k}{2}\rfloor$ errors when $n-k$ is odd, and $\lfloor \frac{n-k}{2}\rfloor-1$ errors when $n-k$ is even. The computational complexity for both scenarios is $O(n^3)$. %, where $ω\approx 2.37286$ is the matrix multiplication exponent. Our approach diverges from existing methods based on Euclidean algorithm and addresses situations that have not been considered in the existing literature \cite{SYJL}. Furthermore, this method is also applicable to decoding near-MDS TGRS codes with parameters $[n, k, n-k]$, enabling correction of up to $\lfloor \frac{n-k-1}{2} \rfloor$ errors, while maintaining polynomial time complexity in $n$.
title Decoding Algorithms for Twisted GRS Codes
topic Information Theory
94B05, 94B65
url https://arxiv.org/abs/2508.03552