Blind partial separation of instantaneous mixtures of sources

被引：0
|
作者：
Pham, DTA [1 ]
机构：
[1] Lab Modelisat & Calcul, F-38041 Grenoble, France
来源：
INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, PROCEEDINGS | 2006年 / 3889卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We introduce a general criterion for blindly extracting a subset of sources in instantaneous mixtures. We derive the corresponding estimation equations and generalize them based on arbitrary nonlinear separating functions. A quasi-Newton algorithm for minimizing the criterion is presented, which reduces to the FastICA algorithm in the case when only one source is extracted. The asymptotic distribution of the estimator is obtained and a simulation example is provided.
引用
收藏
页码：868 / 875
页数：8
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