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
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;
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.2001.949830
