A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order

dc.creatorSilva, DG
dc.creatorNadalin, EZ
dc.creatorCoelho, GP
dc.creatorDuarte, LT
dc.creatorSuyama, R
dc.creatorAttux, R
dc.creatorVon Zuben, FJ
dc.creatorMontalvao, J
dc.date2014
dc.dateMAR
dc.date2014-08-01T18:14:49Z
dc.date2015-11-26T16:58:31Z
dc.date2014-08-01T18:14:49Z
dc.date2015-11-26T16:58:31Z
dc.date.accessioned2018-03-28T23:46:07Z
dc.date.available2018-03-28T23:46:07Z
dc.identifierSignal Processing. Elsevier Science Bv, v. 96, n. 153, n. 163, 2014.
dc.identifier0165-1684
dc.identifier1879-2677
dc.identifierWOS:000330203500003
dc.identifier10.1016/j.sigpro.2013.09.004
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/76062
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/76062
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1277941
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionIn this work, we present a novel bioinspired framework for performing ICA over finite (Galois) fields of prime order P. The proposal is based on a state-of-the-art immune-inspired algorithm, the cob-aiNet[C], which is employed to solve a combinatorial optimization problem associated with a minimal entropy configuration adopting a Michigan-like population structure. The simulation results reveal that the strategy is capable of reaching a performance similar to that of standard methods for lower-dimensional instances with the advantage of also handling scenarios with an elevated number of sources. (C) 2013 Elsevier B.V. All rights reserved.
dc.description96
dc.descriptionB
dc.description153
dc.description163
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationSignal Processing
dc.relationSignal Process.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectICA
dc.subjectGalois field
dc.subjectArtificial Immune Systems
dc.subjectCob-aiNet[C]
dc.subjectFinite-fields
dc.subjectAlgorithms
dc.subjectIca
dc.subjectConvergence
dc.subjectBias
dc.titleA Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order
dc.typeArtículos de revistas


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