BLIND SOURCE SEPARATION USING ANALYTIC WAVELET TRANSFORM

被引：0

作者：

Morimoto, Akira ^{[1
]}

Ryuichi, Ashino ^{[2
]}

Mandai, Takeshi ^{[3
]}

Sasaki, Fumio ^{[4
]}

机构：

[1] Osaka Kyoiku Univ, Informat Sci, Osaka 543, Japan

[2] Osaka Kyoiku Univ, Math Sci, Osaka 543, Japan

[3] Osaka Electro Commun Univ, Dept Engn Sci, Osaka, Japan

[4] Tokyo Univ Sci, Dept Architect, Tokyo, Japan

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1 AND 2 | 2008年

关键词：

Blind source separation; Analytic signal; Analytic wavelet transform; Spatio-temporal mixture problem; Time-frequency analysis;

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：

The algorithms to solve the simplest version of spatio-temporal mixture problem in the blind source separation are proposed. The analytic wavelet transform is used to represent time-frequency information and a numerical simulation is given.

引用

页码：541 / +

页数：2

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