DocumentCode
2625549
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
fYear
1998
fDate
14-17 Apr 1998
Firstpage
34
Lastpage
38
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location
London
Print_ISBN
0-7803-4867-2
Type
conf
DOI
10.1109/CNNA.1998.685325
Filename
685325
Link To Document