Differential of the mutual information

被引：23

作者：

Babaie-Zadeh, M ^{[1
]}

Jutten, C

Nayebi, K

机构：

[1] Inst Natl Polytech Grenoble, LIS, F-38031 Grenoble, France

[2] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran

[3] Univ Grenoble 1, ISTG, F-38031 Grenoble, France

来源：

IEEE SIGNAL PROCESSING LETTERS | 2004年 / 11卷 / 01期

关键词：

blind source separation (BSS); independent component analysis (ICA); mutual information;

D O I：

10.1109/LSP.2003.819344

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：

In this letter, we compute the variation of the mutual information, resulting from, a small variation in its argument. Although the result can be applied in many problems, we consider only one example: the result is used for deriving a new method for blind source separation in linear mixtures. The experimental results emphasize the performance of the resulting algorithm.

引用

页码：48 / 51

页数：4

共 10 条

[1]

ACHARD S, 2000, INITIATION SEPARATIO

[2]

[Anonymous], 2001, P 3 WORKSHOP INDEPEN

[3]

BABAIEZADEH M, 2001, P IWANN GRAN SPAIN J, P834

[4] Equivariant adaptive source separation [J].

Cardoso, JF ;

Laheld, BH .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (12) :3017-3030

[5] INDEPENDENT COMPONENT ANALYSIS, A NEW CONCEPT [J].

COMON, P .

SIGNAL PROCESSING, 1994, 36 (03) :287-314

[6]

Papoulis A., 1991, PROBABILITY RANDOM V

[7]

Pham DT, 1996, IEEE T SIGNAL PROCES, V44, P2768, DOI 10.1109/78.542183

[8]

Pham DT, 2002, IEEE T INFORM THEORY, V48, P1935, DOI 10.1109/TIT.2002.1013134

[9] Source separation in post-nonlinear mixtures [J].

Taleb, A ;

Jutten, C .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (10) :2807-2820

[10]

Taleb A, 1997, ARTIFICIAL NEURAL NE, P529

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