Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349585
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSilva, Daniel Guerreiro e-
dc.contributor.authorunicampAttux, Romis Ribeiro de Faissol-
dc.typeArtigopt_BR
dc.titleAn immune-inspired, information-theoretic framework for blind inversion of Wiener systemspt_BR
dc.contributor.authorSilva, Daniel G.-
dc.contributor.authorMontalvão, Jugurta-
dc.contributor.authorAttux, Romis-
dc.contributor.authorCoradine, Luís C.-
dc.subjectInformação mútuapt_BR
dc.subject.otherlanguageMutual informationpt_BR
dc.description.abstractThis work proposes a new approach to the blind inversion of Wiener systems. A Wiener system is composed of a linear time-invariant (LTI) sub-system followed by a memoryless nonlinear function. The goal is to recover the input signal by knowing just the output of the Wiener system, and the straightforward scheme to achieve this is called the Hammerstein system – apply a memoryless nonlinear mapping followed by a LTI sub-system to the output signal of the Wiener system. If the input of the Wiener system is originally iid and some mild conditions are satisfied, the inversion is possible. Based on this statement and the limitations of relevant previous works, a solution is proposed combining (i) immune-inspired optimization algorithms, (ii) information theory and (iii) IIR filters that yield a robust scheme with a relatively reduced risk of local convergence. Experimental results indicated a similar or superior performance of the new approach, in comparison with two other blind methodologiespt_BR
dc.relation.ispartofSignal processingpt_BR
dc.relation.ispartofabbreviationSignal process.pt_BR
dc.publisher.cityAmsterdampt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherElsevierpt_BR
dc.date.issued2015-
dc.date.monthofcirculationAug.pt_BR
dc.language.isoengpt_BR
dc.description.volume113pt_BR
dc.description.firstpage18pt_BR
dc.description.lastpage31pt_BR
dc.rightsFechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.issn0165-1684pt_BR
dc.identifier.eissn1872-7557pt_BR
dc.identifier.doi10.1016/j.sigpro.2015.01.010pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0165168415000316pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumbernão tempt_BR
dc.description.sponsordocumentnumber2013/11769-3pt_BR
dc.date.available2020-09-18T14:29:39Z-
dc.date.accessioned2020-09-18T14:29:39Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-09-18T14:29:39Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-08T19:03:22Z : No. of bitstreams: 1 2-s2.0-84922539763.pdf: 870335 bytes, checksum: d13b8a2d32ed95608b537af558e7831d (MD5)en
dc.description.provenanceMade available in DSpace on 2020-09-18T14:29:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2015en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/349585-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Engenharia de Computação e Automação Industrialpt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordWiener systemspt_BR
dc.subject.keywordBlind inversionpt_BR
dc.subject.keywordNonlinearpt_BR
dc.subject.keywordCLONALGpt_BR
dc.identifier.source2-s2.0-84922539763pt_BR
dc.creator.orcid0000-0003-2858-1110pt_BR
dc.creator.orcid0000-0002-2961-4044pt_BR
dc.type.formArtigopt_BR
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