Blind Separation of Temporally Correlated Sources Using a Quasi Maximum Likelihood Approach
نویسندگان
چکیده
A quasi-maximum likelihood approach is used for separating the instantaneous mixtures of temporally correlated, independent sources without either any preliminary transformation or a priori assumption about the probability distribution of the sources. A first order Markov model is used to represent the joint probability density of successive samples of each source. The joint probability density functions are estimated from the observations using a kernel method.
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تاریخ انتشار 2001