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

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.