Inference of unknown syndrome values in the implementation of the Berlekamp-Massey-Sakata algorithm
Information Theory
2025-09-19 v1 math.IT
Abstract
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.
Keywords
Cite
@article{arxiv.2509.14835,
title = {Inference of unknown syndrome values in the implementation of the Berlekamp-Massey-Sakata algorithm},
author = {J. J. Bernal and J. J. Simón},
journal= {arXiv preprint arXiv:2509.14835},
year = {2025}
}