Semiparametric Approach to Blind Separation of Dynamic Systems
نویسنده
چکیده
In this paper we present a semipara metric approach to blind separation of nonlinear dy namical systems with linear output equations First we formulate blind deconvolution in a framework of semiparametric model and derive a family of estimat ing functions for the blind separation problem by using a nonholonomic reparametrization The natural gradi ent learning algorithm is derived in the semiparamet ric models We prove that under certain conditions the natural gradient learning algorithm converges to the true solution locally
منابع مشابه
Semiparametric Approach to Blind Separation of Dynamic Systems
| In this paper we present a semipara-metric approach to blind separation of nonlinear dy-namical systems with linear output equations. First we formulate blind deconvolution in a framework of semiparametric model and derive a family of estimating functions for the blind separation problem by using a nonholonomic reparametrization. The natural gradient learning algorithm is derived in the semip...
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