A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions

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 Telecommunications (2003 : Isfahan)
dc.contributor	IST2003
dc.contributor.author	Babaie-Zadeh, Massoud
dc.contributor.author	Solé-Casals, Jordi
dc.contributor.author	Jutten, Christian
dc.date.accessioned	2014-03-19T11:49:13Z
dc.date.available	2014-03-19T11:49:13Z
dc.date.created	2003
dc.date.issued	2003
dc.identifier.uri	http://hdl.handle.net/10854/2785
dc.description.abstract	A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we propose an algorithm for estimating the input signal only by observing the output of the Wiener system. The algorithm is based on minimizing the mutual information of the output samples, by means of a steepest descent gradient approach.	en
dc.format	application/pdf
dc.format.extent	5 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	A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions	en
dc.type	info:eu-repo/semantics/conferenceObject	ca_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca_ES