Title :
A new demixer scheme for blind source separation using general neural network model
Author :
Woo, W.L. ; Sali, S.
Author_Institution :
Dept. of Electr. Eng., Newcastle Univ., Newcastle upon Tyne, UK
Abstract :
A new demixer scheme for blind source separation from instantaneous mixtures has been presented using a general neural network model. It is proven that the existing neural network demixer schemes used for blind source separation can be classed as simpler versions of the new model. Computer simulations are presented to demonstrate that the new scheme is more robust and faster to converge than the existing schemes
Keywords :
neural nets; signal processing; blind source separation; convergence; demixer scheme; general neural network model; instantaneous mixtures; Application software; Blind source separation; Independent component analysis; Microelectronics; Neural networks; Neurofeedback; Signal processing; Signal processing algorithms; Source separation; Turing machines;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.950159
