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Estimación de funciones no lineales en mezclas post-no lineales

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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 Simposium de la Unión Científica Internacional de Radio (XXIè : 2007 : Tenerife )
dc.contributor URSI 2007
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Jutten, Christian
dc.date.accessioned 2014-04-04T11:12:06Z
dc.date.available 2014-04-04T11:12:06Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/10854/2850
dc.description.abstract This paper proposes a new method for blindly inverting a nonlinear mapping which transforms a sum of random variables. This is the case of post-nonlinear (PNL) source separation mixtures. The importance of the method is based on the fact that it permits to decouple the estimation of the nonlinear part from the estimation of the linear one. Only the nonlinear part is inverted, without considering on the linear part. Hence the initial problem is transformed into a linear one that can then be solved with any convenient linear algorithm. The method is compared with other existing algorithms for blindly approximating nonlinear mappings. Experiments show that the proposed algorithm outperforms the results obtained with other algorithms and give a reasonably good linearized data ca_ES
dc.format application/pdf
dc.format.extent 3 p. ca_ES
dc.language.iso spa 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 Funcions ca_ES
dc.title Estimación de funciones no lineales en mezclas post-no lineales 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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