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
fDate :
30 May-2 Jun 1994
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;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409528
