MINIMIZATION-PROJECTION (MP) APPROACH FOR BLIND SOURCE SEPARATION IN DIFFERENT MIXING MODELS

In this paper, a new approach for blind source separation is presented. This approach is based on minimization of the mutual information of the outputs using a nonparametric “gradient” of mutual information, followed by a projection on the parametric model of the separation structure. It is applicable to different mixing system, linear as well as nonlinear, and the algorithms derived from this approach are very fast and efficient.

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