DocumentCode
990478
Title
Flexible parametrization of postnonlinear mixtures model in blind sources separation
Author
Pham, Dinh-Tuan
Author_Institution
Lab. de Modelization et Calcul, CNRS, Grenoble, France
Volume
11
Issue
6
fYear
2004
fDate
6/1/2004 12:00:00 AM
Firstpage
533
Lastpage
536
Abstract
This letter introduces a flexible parametrization for the nonlinear compensator in the postnonlinear mixture model. The idea is to parametrize not the compensator but a set of quantiles of the distribution of its output. They are specified by the density-quantiles which are parametrized through a spline basis. Good results can be achieved with only a few splines.
Keywords
blind source separation; parameter estimation; splines (mathematics); blind source separation; flexible density quantiles parametrization; nonlinear compensator; postnonlinear mixtures model; splines; Blind source separation; Digital filters; Distribution functions; Gaussian processes; Mutual information; Random variables; Source separation; Spline; Statistical distributions; Blind source separation; density; order statistic; postnonlinear mixture; quantiles; splines;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2004.826662
Filename
1300602
Link To Document