DocumentCode
2107084
Title
A Gauss-Newton method for blind source separation of convolutive mixtures
Author
Cruces, Sergio ; Castedo, Luis
Author_Institution
ESI Telecommun., Seville Univ., Spain
Volume
4
fYear
1998
fDate
12-15 May 1998
Firstpage
2093
Abstract
In this paper we present several Gauss-Newton algorithms for blind source separation of convolutive mixtures. The algorithms can be interpreted as generalizations of two previous approaches due to Van Gerven and Van Compernolle (1995) and Nguyen-Thi and Jutten (1995). Since they are of the Gauss-Newton type, they exhibit a fast rate of convergence. Also, we present a stability analysis for two sources and instantaneous mixtures where we show that the algorithms cannot converge to non-separating solutions
Keywords
Gaussian processes; Newton method; convolution; numerical stability; signal reconstruction; Gauss-Newton method; blind source separation; convergence; convolutive mixtures; stability analysis; Blind source separation; Gaussian processes; Least squares methods; MIMO; Newton method; Recursive estimation; Sensor arrays; Signal processing algorithms; Source separation; Telecommunications;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.681557
Filename
681557
Link To Document