List Decoding Algorithm based on Voting in Groebner Bases for General One-Point AG Codes
Ryutaroh Matsumoto, Diego Ruano, Olav Geil

TL;DR
This paper introduces a generalized list decoding algorithm for one-point algebraic geometry codes using voting in Groebner bases, improving speed and extending applicability beyond Hermitian codes.
Contribution
It extends the unique decoding algorithm to general one-point AG codes, incorporates list decoding, and analyzes its complexity and performance.
Findings
Empirically as fast as BMS algorithm for Hermitian codes
Can be much faster than Beelen and Brander's algorithm for moderate inputs
Has exponential worst-case complexity, slower for very large inputs
Abstract
We generalize the unique decoding algorithm for one-point AG codes over the Miura-Kamiya Cab curves proposed by Lee, Bras-Amor\'os and O'Sullivan (2012) to general one-point AG codes, without any assumption. We also extend their unique decoding algorithm to list decoding, modify it so that it can be used with the Feng-Rao improved code construction, prove equality between its error correcting capability and half the minimum distance lower bound by Andersen and Geil (2008) that has not been done in the original proposal except for one-point Hermitian codes, remove the unnecessary computational steps so that it can run faster, and analyze its computational complexity in terms of multiplications and divisions in the finite field. As a unique decoding algorithm, the proposed one is empirically and theoretically as fast as the BMS algorithm for one-point Hermitian codes. As a list decoding…
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