DocumentCode
3440728
Title
A neural network for blind signal separation
Author
Ling, Xie-Ting ; Huang, Yih-Fang ; Liu, Ruey-wen
Author_Institution
Dept. of Electron. Eng., Fudan Univ., Shanghai, China
Volume
6
fYear
1994
fDate
30 May-2 Jun 1994
Firstpage
69
Abstract
An unsupervised neural network is constructed for the problem of blind signal separation. It is designed based on the condition that the outputs of the neural network are independent. A study of the stability of the neural network in the sense of expectation is presented. A stability condition on the system matrix A is obtained. Simulation studies show that this neural network is robust. It can separate two signals with strength ratio 100:1
Keywords
circuit stability; neural nets; signal processing; blind signal separation; stability condition; system matrix; unsupervised neural network; Blind source separation; Electrodes; Filters; Humans; Matrix decomposition; Neural networks; Signal processing; Skin; Source separation; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location
London
Print_ISBN
0-7803-1915-X
Type
conf
DOI
10.1109/ISCAS.1994.409528
Filename
409528
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