dc.creatorDuarte L.T.
dc.creatorAndo R.A.
dc.creatorAttux R.
dc.creatorDeville Y.
dc.creatorJutten C.
dc.date2012
dc.date2015-06-26T20:29:36Z
dc.date2015-11-26T14:26:01Z
dc.date2015-06-26T20:29:36Z
dc.date2015-11-26T14:26:01Z
dc.date.accessioned2018-03-28T21:28:52Z
dc.date.available2018-03-28T21:28:52Z
dc.identifier9783642285509
dc.identifierLecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). , v. 7191 LNCS, n. , p. 239 - 246, 2012.
dc.identifier3029743
dc.identifier10.1007/978-3-642-28551-6_30
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84857255277&partnerID=40&md5=d20e10e3c866e14255b813c630e1206f
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/97093
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/97093
dc.identifier2-s2.0-84857255277
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1245942
dc.descriptionIn this work, we deal with the problem of nonlinear blind source separation (BSS). We propose a new method for BSS in overdetermined linear-quadratic (LQ) mixtures. By exploiting the assumption that the sources are sparse in a transformed domain, we define a framework for canceling the nonlinear part of the mixing process. After that, separation can be conducted by linear BSS algorithms. Experiments with synthetic data are performed to assess the viability of our proposal. © 2012 Springer-Verlag.
dc.description7191 LNCS
dc.description
dc.description239
dc.description246
dc.descriptionYitzhak Chaya Weinstein Res. Inst. Signal Process.,Tel-Aviv University,The Technion - Israel Institute of Technology,Bar-Ilan University,The Advanced Communication Center
dc.descriptionComon, P., Jutten, C., (2010) Handbook of Blind Source Separation, Independent Component Analysis and Applications, , Academic Press, Elsevier
dc.descriptionRomano, J.M.T., Attux, R.R.F., Cavalcante, C.C., Suyama, R., (2011) Unsupervised Signal Processing: Channel Equalization and Source Separation, , CRC Press
dc.descriptionDuarte, L.T., Jutten, C., Moussaoui, S., A Bayesian nonlinear source separation method for smart ion-selective electrode arrays (2009) IEEE Sensors Journal, 9 (12), pp. 1763-1771
dc.descriptionMeganem, I., Deville, Y., Hosseini, S., Déliot, P., Briottet, X., Duarte, L.T., Linear-quadratic and polynomial non-negative matrix factorization
dc.descriptionapplication to spectral unmixing (2011) Proc. of the 19th European Signal Processing Conference, EUSIPCO 2011
dc.descriptionJutten, C., Karhunen, J., Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures (2004) International Journal of Neural Systems, 14, pp. 267-292
dc.descriptionComon, P., Independent component analysis, a new concept? (1994) Signal Processing, 36, pp. 287-314
dc.descriptionHosseini, S., Deville, Y., Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure (2003) LNCS, 2687, pp. 241-248. , Mira, J., Álvarez, J.R. (eds.) IWANN 2003. Springer, Heidelberg
dc.descriptionMerrikh-Bayat, F., Babaie-Zadeh, M., Jutten, C., Linear-quadratic blind source separating structure for removing show-through in scanned documents (2010) International Journal on Document Analysis and Recognition, pp. 1-15
dc.descriptionBedoya, G., (2006) Nonlinear Blind Signal Separation for Chemical Solid-state Sensor Arrays, , PhD thesis, Universitat Politecnica de Catalunya
dc.descriptionDeville, Y., Hosseini, S., Recurrent networks for separating extractable-target non-linear mixtures. part i: Non-blind configurations (2009) Signal Processing, 89, pp. 378-393
dc.descriptionCastella, M., Inversion of polynomial systems and separation of nonlinear mixtures of finite-alphabet sources (2008) IEEE Trans. on Sig. Proc., 56 (8), pp. 3905-3917
dc.descriptionAbed-Meraim, K., Belouchrani, A., Hua, Y., Blind identification of a linear-quadratic mixture of independent components based on joint diagonalization procedure Proc. of the IEEE Inter. Conf. on Acous., Spee., and Signal Processing, ICASSP (1996)
dc.descriptionDeville, Y., Hosseini, S., Blind identification and separation methods for linear-quadratic mixtures and/or linearly independent non-stationary signals Proc. of the 9th Int. Symp. on Sig. Proc. and Its App., ISSPA (2007)
dc.descriptionDuarte, L.T., Suyama, R., Attux, R., Deville, Y., Romano, J.M.T., Jutten, C., Blind Source Separation of Overdetermined Linear-Quadratic Mixtures (2010) LNCS, 6365, pp. 263-270. , Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds.) LVA/ICA 2010. Springer, Heidelberg
dc.descriptionElad, M., (2010) Sparse and Redundant Representations from Theory to Applications in Signal and Image Processing, , Springer, Heidelberg
dc.descriptionMohimani, H., Babaie-Zadeh, M., Jutten, C., A fast approach for overcomplete sparse decomposition based on smoothed ℓ 0 norm (2009) IEEE Transactions on Signal Processing, 57 (1), pp. 289-301
dc.descriptionDuarte, L.T., Suyama, R., Attux, R., Romano, J.M.T., Jutten, C., Blind extraction of sparse components based on ℓ 0-norm minimization Proc. of the IEEE Statistical Signal Processing Workshop, SSP (2011)
dc.languageen
dc.publisher
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsfechado
dc.sourceScopus
dc.titleSeparation Of Sparse Signals In Overdetermined Linear-quadratic Mixtures
dc.typeActas de congresos


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