: Introduce the independent component analysis (ICA) the basic model and its assumptions, vague, non-Gaussian measurement and GM solving process. Discussion of the current ICA several research directions of the development of the current situation and the problems faced by an analysis of the basic ICA model and several extended model algorithm, including the blind deconvolution, convolution mixture of blind source separation, nonlinear transient mixed Blind Source Separation. Proposed ICA future theoretical and applied research topics in the open.

Advances of Research in Independent Component Analysis.pdf

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