Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/97093
Type: Artigo de evento
Title: Separation Of Sparse Signals In Overdetermined Linear-quadratic Mixtures
Author: Duarte L.T.
Ando R.A.
Attux R.
Deville Y.
Jutten C.
Abstract: In 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.
Editor: 
Rights: fechado
Identifier DOI: 10.1007/978-3-642-28551-6_30
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84857255277&partnerID=40&md5=d20e10e3c866e14255b813c630e1206f
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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