Estimación de funciones no lineales en mezclas post-no lineales

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	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.created	2007
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	en
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.accessRights	info:eu-repo/semantics/openAccess	ca_ES