Correlation Coefficient Based On Independent Component Analysis

被引：0

作者：

Falie, Dragos ^{[1
]}

David, Livia ^{[2
]}

机构：

[1] Univ Politehn Bucuresti, Image Proc & Anal Lab, Bucharest, Romania

[2] Univ Agr Sci & Vet Med, Bucharest, Romania

来源：

2012 9TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM) | 2012年

关键词：

correlation; statistical independence; ICA; blind separation of sources; BSS; CLOSED-FORM ESTIMATORS; BLIND SEPARATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The proposed correlation coefficient better characterize the statistical independence of two random variables that are a linear mixture of two independent sources. This correlation coefficient can be calculated with analytical relations or with the known algorithms of independent components analysis (ICA). The value of the correlation coefficient is zero when the random variables are a statistically independent and it is one when these are fully dependent.

引用

页码：59 / 62

页数：4

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