DocumentCode
1752292
Title
Correlation matching approach to source separation in the presence of spatially correlated noise
Author
Choi, Seungjin ; Cichocki, Andnej
Author_Institution
Dept. of Comput. Sci. & Eng., POSTECH, South Korea
Volume
1
fYear
2001
fDate
2001
Firstpage
272
Abstract
This paper addresses a new method of source separation that is robust in the presence of spatially correlated but temporally white noise. The method exploits the non-vanishing temporal structure of sources to reduce the effect of noise. In the framework of correlation matching, we develop two efficient least squares algorithms. Useful behavior of the proposed algorithms is confirmed by numerical experiments
Keywords
array signal processing; correlation methods; least squares approximations; white noise; correlation matching; least squares algorithms; nonvanishing temporal structure; numerical experiments; signal processing; source separation; spatially correlated noise; temporally white noise; Biomedical signal processing; Computer science; Independent component analysis; Laboratories; Least squares methods; Noise reduction; Signal processing algorithms; Source separation; Speech processing; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location
Kuala Lumpur
Print_ISBN
0-7803-6703-0
Type
conf
DOI
10.1109/ISSPA.2001.949830
Filename
949830
Link To Document