New contrasts for blind separation of non iid sources in the convolutive case

Marc Castella; Jean Christophe Pesquet; Athina P. Petropulu

New contrasts for blind separation of non iid sources in the convolutive case

Marc Castella, Jean Christophe Pesquet, Athina P. Petropulu

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper deals with the separation of convolutive mixtures of independent source signals. Starting from a frequency point of view, we consider a joint diagonalization criterion. Integration of the latter over the frequency domain leads to contrasts which are valid for both iid and non iid sources. A generalization of these contrasts is proposed: it aims at obtaining contrasts with improved statistical performances. A link with existing time-domain contrasts is established. A simple gradient based method for the optimization of the contrasts is proposed and evaluated through simulation tests.

Original language	English
Article number	7072060
Journal	European Signal Processing Conference
Volume	2002-March
Publication status	Published - 27 Mar 2002
Externally published	Yes
Event	11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France Duration: 3 Sept 2002 → 6 Sept 2002

Cite this

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title = "New contrasts for blind separation of non iid sources in the convolutive case",

abstract = "This paper deals with the separation of convolutive mixtures of independent source signals. Starting from a frequency point of view, we consider a joint diagonalization criterion. Integration of the latter over the frequency domain leads to contrasts which are valid for both iid and non iid sources. A generalization of these contrasts is proposed: it aims at obtaining contrasts with improved statistical performances. A link with existing time-domain contrasts is established. A simple gradient based method for the optimization of the contrasts is proposed and evaluated through simulation tests.",

author = "Marc Castella and Pesquet, \{Jean Christophe\} and Petropulu, \{Athina P.\}",

note = "Publisher Copyright: {\textcopyright} 2002 EUSIPCO.; 11th European Signal Processing Conference, EUSIPCO 2002 ; Conference date: 03-09-2002 Through 06-09-2002",

year = "2002",

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journal = "European Signal Processing Conference",

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T1 - New contrasts for blind separation of non iid sources in the convolutive case

AU - Castella, Marc

AU - Pesquet, Jean Christophe

AU - Petropulu, Athina P.

PY - 2002/3/27

Y1 - 2002/3/27

N2 - This paper deals with the separation of convolutive mixtures of independent source signals. Starting from a frequency point of view, we consider a joint diagonalization criterion. Integration of the latter over the frequency domain leads to contrasts which are valid for both iid and non iid sources. A generalization of these contrasts is proposed: it aims at obtaining contrasts with improved statistical performances. A link with existing time-domain contrasts is established. A simple gradient based method for the optimization of the contrasts is proposed and evaluated through simulation tests.

AB - This paper deals with the separation of convolutive mixtures of independent source signals. Starting from a frequency point of view, we consider a joint diagonalization criterion. Integration of the latter over the frequency domain leads to contrasts which are valid for both iid and non iid sources. A generalization of these contrasts is proposed: it aims at obtaining contrasts with improved statistical performances. A link with existing time-domain contrasts is established. A simple gradient based method for the optimization of the contrasts is proposed and evaluated through simulation tests.

M3 - Conference article

AN - SCOPUS:84960933510

SN - 2219-5491

VL - 2002-March

JO - European Signal Processing Conference

JF - European Signal Processing Conference

M1 - 7072060

T2 - 11th European Signal Processing Conference, EUSIPCO 2002

Y2 - 3 September 2002 through 6 September 2002

ER -

New contrasts for blind separation of non iid sources in the convolutive case

Abstract

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