Title :
Direct blind separation of independent non-Gaussian signals with dynamic channels
Author :
Liu, Ruey-wen ; Luo, Hui
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Abstract :
A fundamental theorem of direct blind separation of independent non-Gaussian signals with dynamic channels is presented. Roughly, it states that blind signal separation is achieved if and only if the output signals are temporally uncorrelated and pairwise independent. This condition is simple enough to be adaptable by a neural network
Keywords :
matrix algebra; signal processing; telecommunication channels; direct blind separation; dynamic channels; independent nonGaussian signals; Additive noise; Blind source separation; Computer simulation; Delay; Equalizers; IIR filters; Matrix decomposition; Neural networks; Polynomials; Source separation;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685325
