Non-negative source separation using the maximum likelihood approach

被引：0

作者：

Moussaoui, Said ^{[1
]}

Brie, David ^{[1
]}

Carteret, Cedric ^{[1
]}

机构：

[1] INPL, UHP, CNRS, UMR 7039,CRAN, F-54506 Vandoeuvre Les Nancy, France

来源：

2005 IEEE/SP 13TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING (SSP), VOLS 1 AND 2 | 2005年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This papers addresses the problem of non-negative source separation using the maximum likelihood approach. It is shown that this approach can be effective by considering that the sources are distributed according to a density having a non-negative support from which an adequate nonlinear separating function can be derived. In the particular of spectroscopic data which is our main concern, a good candidate is the Gamma distribution which allows to encode both non-negativity and sparsity of the source signals. Numerical experiments are used to assess the performances of the method.

引用

页码：1043 / 1048

页数：6

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