Batch Mutually Referenced Separation Algorithm for MIMO Convolutive Mixtures

This paper deals with the blind separation problem of MultiInput Multi-Output (MIMO) convolutive mixtures. Previously, we presented some algorithms based on mutually referenced criterion to separate MIMO convolutive mixtures. However, the proposed algorithms are time consuming and they need a lot of computation efforts. It is obvious that the computation efforts can be reduced as well the convergence time when the adaptive algorithms are well initialized. To choose the best starting point of these algorithms, we propose here a direct and batch minimization of the proposed criteria.