DocumentCode
3347918
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
Volume
5
fYear
2004
fDate
17-21 May 2004
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1327165
Filename
1327165
Link To Document