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Improving algorithm speed in PNL mixture separation and Wiener system inversion

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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 Independent Component Analysis and Blind Signal Separation ( 4art : 2003 : Nara)
dc.contributor ICA2003
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Babaie-Zadeh, Massoud
dc.contributor.author Jutten, Christian
dc.contributor.author Pham, Dinh-Tuan
dc.date.accessioned 2014-03-19T12:09:39Z
dc.date.available 2014-03-19T12:09:39Z
dc.date.issued 2003
dc.identifier.uri http://hdl.handle.net/10854/2786
dc.description.abstract This paper proposes a very simple method for increasing the algorithm speed for separating sources from PNL mixtures or invertingWiener systems. The method is based on a pertinent initialization of the inverse system, whose computational cost is very low. The nonlinear part is roughly approximated by pushing the observations to be Gaussian; this method provides a surprisingly good approximation even when the basic assumption is not fully satisfied. The linear part is initialized so that outputs are decorrelated. Experiments shows the impressive speed improvement. ca_ES
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 Improving algorithm speed in PNL mixture separation and Wiener system inversion 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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