AUDIO SEPARATION USING   RobustICA

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DC Field	Value	Language
dc.contributor.author	Khalfa Ali, Chikouche Djamel, Amardjia Nouredinne	-
dc.date.accessioned	2013-12-19T15:18:25Z	-
dc.date.available	2013-12-19T15:18:25Z	-
dc.date.issued	2013-12-19	-
dc.identifier.issn	waf	-
dc.identifier.uri	http://hdl.handle.net/123456789/2903	-
dc.description	The INTERNATIONAL CONFERENCE ON ELECTRONICS & OIL: FROM THEORY TO APPLICATIONS March 05-06, 2013, Ouargla, Algeria	en_US
dc.description.abstract	Independent component analysis (ICA) aims at decomposing an observed random vector into statistically independent variables. A novel method for deflationary ICA, referred to as RobustICA. This simple technique consists of performing exact line search optimization of the kurtosis contrast function. RobustICA can avoid prewhitening and deals with real- and complex-valued mixtures of possibly audio sources alike. The absence of prewhitening improves asymptotic performance.	en_US
dc.language.iso	en	en_US
dc.subject	independent component analysis (ICA) RobustICA	en_US
dc.subject	kurtosis	en_US
dc.subject	performance analysis	en_US
dc.title	AUDIO SEPARATION USING RobustICA	en_US
dc.type	Article	en_US
Appears in Collections:	2. Faculté des nouvelles technologies de l’information et de la communication

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