| Abstract: |
This thesis addresses the problem of blind source separation and multichannel blind deconvolution . In blind source separation, signals from multiple sources arrive simultaneously at a sensor array, so, each sensor output contains a mixture of source signThe goal of this thesis is to develop a blind source recovery algorithms for a mixture of Sub and Super gaussian signals in case of the model represented by state space equations. Then The problem of optimal choice of nonlinear activation functions for va
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