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Fast Approximation of Nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems

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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.author Solé-Casals, Jordi
dc.contributor.author Jutten, Christian
dc.contributor.author Pham, Dinh-Tuan
dc.date.accessioned 2013-02-18T09:22:21Z
dc.date.available 2013-02-18T09:22:21Z
dc.date.created 2005
dc.date.issued 2005
dc.identifier.citation SOLÉ CASALS, Jordi; JUTTEN, C.; PHAM, D. T. "Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems". A: Signal Processing, 2005, vol. 85, núm. 9, pàg. 1780-1786. ca_ES
dc.identifier.issn 0165-1684
dc.identifier.uri http://hdl.handle.net/10854/2089
dc.description.abstract This paper proposes a very fast method for blindly approximating a nonlinear mapping which transforms a sum of random variables. The estimation is surprisingly good even when the basic assumption is not satisfied.We use the method for providing a good initialization for inverting post-nonlinear mixtures and Wiener systems. Experiments show that the algorithm speed is strongly improved and the asymptotic performance is preserved with a very low extra computational cost. ca_ES
dc.format application/pdf
dc.format.extent 12 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Elsevier ca_ES
dc.rights (c) Elsevier, 2005
dc.rights Tots els drets reservats ca_ES
dc.subject.other Robòtica ca_ES
dc.subject.other Control automàtic ca_ES
dc.title Fast Approximation of Nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.1016/j.sigpro.2004.11.030
dc.relation.publisherversion http://dx.doi.org/10.1016/j.sigpro.2004.11.030
dc.rights.accesRights info:eu-repo/semantics/openAccess ca_ES
dc.type.version info:eu-repo/acceptedVersion ca_ES
dc.indexacio Indexat a SCOPUS
dc.indexacio Indexat a WOS/JCR ca_ES

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