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A robust MINT equalization algorithm based on near-common zero concept

In this paper we investigate the problem of near-common zero in the MINT equalization algorithm. We assume an unknown source signal is received by several microphones so that a single-input-multiple-output system is to be equalized by MINT to recover the source signal. We then propose an improved regularization procedure to address the common zero and near-common zero problems associated with MINT in a noisy environment.