Title :
Algorithms for blind signal separation and recovery in static and dynamic environments
Author :
Gharbi, Ammar B. ; Salam, Fathi M.
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
We propose update laws for the problem of blind separation in static and dynamic environments. The energy function is based on an approximation of the mutual information as a measure of independence. Both feedforward and feedback structures of the neural network are considered. A general framework to develop the update law for the dynamic model is proposed. Computer simulations to support the analytical work are provided
Keywords :
feedforward neural nets; recurrent neural nets; signal processing; algorithm; blind signal recovery; blind signal separation; computer simulation; dynamic environment; energy function; feedback neural network; feedforward neural network; mutual information; static environment; update law; Blind source separation; Circuits; Energy measurement; Filtering; IIR filters; Intelligent networks; Linear systems; Mutual information; State feedback; State-space methods;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.608970
