DocumentCode
3096267
Title
The general source separation problem
Author
Lacoume, J. ; Gaeta, M.
fYear
1990
fDate
10-12 Oct. 1990
Firstpage
154
Lastpage
158
Abstract
Presents a maximum likelihood approach of the separation problem of independent sources linearly combined. This separation cannot be successful using only the spectral matrix. But it can be done using higher order statistics and in particular the fourth order cumulant of the signals. The general linear case can be solved in frequency domain. In this domain the authors introduce the notion of circular complex variables, and give the maximum likelihood estimator of the source model in the complex data case.<>
Keywords
signal processing; statistical analysis; circular complex variables; complex data; fourth order cumulant; frequency domain; general source separation; higher order statistics; independent sources; maximum likelihood approach; maximum likelihood estimator; signal vector; source model; spectral matrix; Additive noise; Bioreactors; Gaussian noise; Higher order statistics; Matrix decomposition; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear filters; Source separation; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location
Rochester, NY, USA
Type
conf
DOI
10.1109/SPECT.1990.205565
Filename
205565
Link To Document