Blind Inversion of Wiener System using a minimization-projection (MP) approach

Babaie-Zadeh, Massoud; Solé-Casals, Jordi; Jutten, Christian

dc.contributor	Universitat de Vic. Escola Politècnica Superior
dc.contributor	Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor	International Symposium on Independent Component Analysis and Blind Signal Separation ( 4art : 2003 : Nara)
dc.contributor	ICA2003
dc.contributor.author	Babaie-Zadeh, Massoud
dc.contributor.author	Solé-Casals, Jordi
dc.contributor.author	Jutten, Christian
dc.date.accessioned	2014-03-19T11:36:28Z
dc.date.available	2014-03-19T11:36:28Z
dc.date.created	2003
dc.date.issued	2003
dc.identifier.uri	http://hdl.handle.net/10854/2784
dc.description.abstract	In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimization is done through a Minimization-Projection (MP) approach, using a nonparametric “gradient” of mutual information.	en
dc.format	application/pdf
dc.format.extent	6 p.	ca_ES
dc.language.iso	eng	ca_ES
dc.rights	Aquest document està subjecte a aquesta llicència Creative Commons	ca_ES
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	ca_ES
dc.subject.other	Tractament del senyal	ca_ES
dc.title	Blind Inversion of Wiener System using a minimization-projection (MP) approach	en
dc.type	info:eu-repo/semantics/conferenceObject	ca_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca_ES