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Kernel Independent Component Analysis (KICA) which is advanced recently is a non-linear method for blind source separation (BSS). KICA can't reduce the dimension of multidimensional data when extract its feature, that is to say, KICA can't remove the disturbing noise in observed sample signal. For these reason, paper improved its ability to process the multidimensional data, recurring to the characteristic...
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