Inference of unknown syndrome values in the implementation of the Berlekamp-Massey-Sakata algorithm

Fuente: arXiv
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Main Authors: Bernal, J. J., Simón, J. J.
Format: Preprint
Published: 2025
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author Bernal, J. J.
Simón, J. J.
author_facet Bernal, J. J.
Simón, J. J.
contents We study the problem of finding those missing syndrome values that are needed to implment the Berlekamp-Massey-Sakata algorithm as the Feng-Rao Majority Voting for algebraic geometric codes. We apply our results to solve syndrome correction in abelian codes.
format Preprint
id arxiv_https___arxiv_org_abs_2509_14835
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Inference of unknown syndrome values in the implementation of the Berlekamp-Massey-Sakata algorithm
Bernal, J. J.
Simón, J. J.
Information Theory
We study the problem of finding those missing syndrome values that are needed to implment the Berlekamp-Massey-Sakata algorithm as the Feng-Rao Majority Voting for algebraic geometric codes. We apply our results to solve syndrome correction in abelian codes.
title Inference of unknown syndrome values in the implementation of the Berlekamp-Massey-Sakata algorithm
topic Information Theory
url https://arxiv.org/abs/2509.14835