Adaptive Blind Source Separation Using Weighted Sums of Two Kinds of Nonlinear Functions

Bin-Chul IHM  Dong-Jo PARK  Young-Hyun KWON  

IEICE TRANSACTIONS on Information and Systems   Vol.E84-D   No.5   pp.672-674
Publication Date: 2001/05/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Algorithms
blind source separation,  sub-Gaussian,  super-Gaussian,  weighted sum of nonlinear functions,  

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We propose a new intelligent blind source separation algorithm for the mixture of sub-Gaussian and super-Gaussian sources. The algorithm consists of an update equation of the separating matrix and an adjustment equation of nonlinear functions. To verify the validity of the proposed algorithm, we compare the proposed algorithm with extant methods.