Batch Algorithm for Source Separation in Postnonlinear Mixtures
نویسندگان
چکیده
MIXTURES Anisse Taleb Christian Jutten LIS INPG, 46 Avenue F elix Viallet 38000 Grenoble FRANCE taleb [email protected] ABSTRACT In this paper we propose a batch quasi-nonparametric procedure for the separation of mutually independent sources in a postnonlinear mixture. This model of nonlinear mixture occurs in many real world situations, and have nice separability properties. The implemented procedure is based on a maximum likelihood approach. It makes use of nonparametric approaches and gradient in functions space for the estimation of the inverse of the mixing matrix, and the inversion of the nonlinear functions.
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تاریخ انتشار 1999