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

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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.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. ca_ES
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 ca_ES
dc.type info:eu-repo/semantics/conferenceObject ca_ES
dc.rights.accesRights info:eu-repo/semantics/openAccess ca_ES

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