Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures

dc.creatorDuarte, LT
dc.creatorSuyama, R
dc.creatorRivet, B
dc.creatorAttux, R
dc.creatorRomano, JMT
dc.creatorJutten, C
dc.date2012
dc.dateNOV
dc.date2014-07-30T13:52:28Z
dc.date2015-11-26T16:42:07Z
dc.date2014-07-30T13:52:28Z
dc.date2015-11-26T16:42:07Z
dc.date.accessioned2018-03-28T23:26:33Z
dc.date.available2018-03-28T23:26:33Z
dc.identifierIeee Transactions On Signal Processing. Ieee-inst Electrical Electronics Engineers Inc, v. 60, n. 11, n. 5832, n. 5844, 2012.
dc.identifier1053-587X
dc.identifier1941-0476
dc.identifierWOS:000310139900018
dc.identifier10.1109/TSP.2012.2208953
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/55772
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/55772
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1273157
dc.descriptionIn this paper, we address the problem of blind compensation of nonlinear distortions. Our approach relies on the assumption that the input signal is bandlimited. We then make use of the classical result that the output of a nonlinearity has a wider spectrum than the one of the input signal. However, differently from previous works, our approach does not assume knowledge of the input signal bandwidth. The proposal is considered in the development of a two-stage method for blind source separation (BSS) in post-nonlinear (PNL) models. Indeed, once the functions present in the nonlinear stage of a PNL model are compensated, one can apply the well-established linear BSS algorithms to complete the task of separating the sources. Numerical experiments performed in different scenarios attest the viability of the proposal. Moreover, the proposed method is tested in a real situation where the data are acquired by smart chemical sensor arrays.
dc.description60
dc.description11
dc.description5832
dc.description5844
dc.languageen
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.publisherPiscataway
dc.publisherEUA
dc.relationIeee Transactions On Signal Processing
dc.relationIEEE Trans. Signal Process.
dc.rightsfechado
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.sourceWeb of Science
dc.subjectBandlimited signals
dc.subjectblind source separation
dc.subjectnonlinear distortion
dc.subjectpost-nonlinear model
dc.subjectsmart chemical sensor arrays
dc.subjectIndependent Component Analysis
dc.subjectSelective Electrode Arrays
dc.subjectMutual Information
dc.subjectMinimization
dc.subjectStatistics
dc.subjectSystems
dc.subjectSignals
dc.titleBlind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures
dc.typeArtículos de revistas


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