Blind separation for mixtures of sub-Gaussian and super-Gaussian sources
Bin-Chul Ihm, D.-J. Park, Young-Hyun Kwon · 2002
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. The weighted sum of two nonlinear functions is adapted to obtain the proper nonlinear function for each source. To verify the validity of the proposed algorithm, we compare the result with that of algorithms with one fixed nonlinear function, and that of the extant methods.