Title :
Blind separation for mixtures of sub-Gaussian and super-Gaussian sources
Author :
Ihm, B.C. ; Ark, D. J P ; Kwon, K.H.
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Abstract :
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
Keywords :
array signal processing; higher order statistics; nonlinear functions; signal detection; adjustment equation; blind separation; nonlinear functions; separating matrix; source separation algorithm; sub-Gaussian sources; super-Gaussian sources; update equation; weighted sum; Biomedical measurements; Blind source separation; Ear; Feature extraction; Image processing; Mutual information; Nonlinear equations; Probability density function; Source separation; Speech recognition;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856166
