A one step time-frequency blind identification

被引：5

作者：

Bousbia-Salah, A ^{[1
]}

Belouchrani, A ^{[1
]}

Bousbia-Salah, H ^{[1
]}

机构：

[1] Univ Sci & Technol Houari Boumed, ITS, Dept Elect, Bab Ezzouar 16111, Algiers, Algeria

来源：

SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/ISSPA.2003.1224770

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Blind source separation using time-frequency distributions is considered in this contribution. We propose a time-frequency source separation technique based on the joint diagonalization procedure introduced in [1]. The approach exploits the auto-terms of the time-frequency distributions of the sources. It is based on the joint-diagonalization of the spatial time-frequency distributions of the received data. The joint-diagonalization is optimized without any orthogonality constraint which bypasses any prior whitening of the observations. Numerical simulations are provided to demonstrate the effectiveness of our proposed method.

引用

页码：581 / 584

页数：4

共 6 条

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Belouchrani, A ;

AbedMeraim, K ;

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[2]

Belouchrani A, 1998, IEEE T SIGNAL PROCES, V46, P2888, DOI 10.1109/78.726803

[3]

BELOUCHRANI A, 1996, P SPIE C ADV ALG ARC

[4] Blind separation of non stationary sources using joint block diagonalization [J].

Bousbia-Salah, H ;

Belouchrani, A ;

Abed-Meraim, K .

2001 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS, 2001, :448-451

[5]

Cohen L., 1995, TIME FREQUENCY ANAL

[6]

Pham DT, 1997, IEEE T SIGNAL PROCES, V45, P1712, DOI 10.1109/78.599941

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