Blind Source Separation of Nonlinear Mixing Models
نویسندگان
چکیده
We present a new set of learning rules for the non-linear blind source separation problem based on the information maximization criterion. The mixing model is divided into a linear mixing part and a nonlinear transfer channel. The proposed model focuses on a paramet-ric sigmoidal nonlinearity and higher order polynomials. Our simulation results verify the convergence of the proposed algorithms.
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تاریخ انتشار 1997