Title :
A Gauss-Newton method for blind source separation of convolutive mixtures
Author :
Cruces, Sergio ; Castedo, Luis
Author_Institution :
ESI Telecommun., Seville Univ., Spain
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681557
