Description: Blind signal separation is one of the hot topics of signal processing research has broad application prospects in the field of wireless data communications, medical, speech and seismic signal processing. Based on negative entropy FastICA algorithm for blind signal separation. . The basic idea of this method is non-Gaussian signal study subjects for the study, the hypothesis of independence, the observed signal of the multi-channel blind source separation. Meet certain conditions, from the signals of multiple observations, good separation of independent source signals implied.
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