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