Title :
A minimization-projection (MP) approach for blind separating convolutive mixtures
Author :
Babaie-Zadeh, Massoud ; Jutten, Christian ; Nayebi, Kambiz
Author_Institution :
Multimedia Lab., Iran Telecom Res. Center, Tehran, Iran
Abstract :
A new algorithm for blind source separation in convolutive mixtures, based on minimizing the mutual information of the outputs, is proposed. This minimization is done using a recently proposed minimization-projection (MP) approach for minimizing mutual information in a parametric model. Since the minimization step of the MP approach is proved to have no local minimum, it is expected that this new algorithm has good convergence behaviour.
Keywords :
blind source separation; independent component analysis; minimisation; ICA; blind source separation; convergence; convolutive mixtures; independent component analysis; minimization-projection approach; mutual information minimization; parametric model; Blind source separation; Electrical engineering; Independent component analysis; Laboratories; Mutual information; Parametric statistics; Signal processing algorithms; Source separation; Speech; Telecommunications;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1327165
