Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/243667
Type: Artigo
Title: A sparsity-based method for blind compensation of a memoryless nonlinear distortion: application to ion-selective electrodes
Author: Duarte, Leonardo Tomazeli
Suyama, Ricardo
Romis, Attux
Romano, João Marcos Travassos
Jutten, Christian
Abstract: In this paper, we propose a method for blind compensation of a memoryless nonlinear distortion. We assume as prior information that the desired signal admits a sparse representation in a transformed domain that should be known in advance. Then, given that a nonlinear distortion tends to generate signals that are less sparse than the desired one, our proposal is to build a compensating function model that gives rise to a maximally sparse signal. The implementation of this proposal has, as central elements, a criterion built upon an approximation of the l(0)-norm, the use of polynomial functions as compensating structures, and an optimization strategy based on sequential quadratic programming. We provide a theoretic analysis for an l(0)-norm criterion and results considering synthetic data. We also employ the method in an actual application related to chemical analysis via ion-selective electrode arrays.
In this paper, we propose a method for blind compensation of a memoryless nonlinear distortion. We assume as prior information that the desired signal admits a sparse representation in a transformed domain that should be known in advance. Then, given that
Subject: Separação cega de fontes
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Citation: A Sparsity-based Method For Blind Compensation Of A Memoryless Nonlinear Distortion: Application To Ion-selective Electrodes. Ieee-inst Electrical Electronics Engineers Inc, v. 15, p. 2054-2061 APR-2015.
Rights: fechado
fechado
Identifier DOI: 10.1109/JSEN.2014.2371013
Address: https://ieeexplore.ieee.org/document/6957071
Date Issue: 2015
Appears in Collections:FEEC - Artigos e Outros Documentos
FCA - Artigos e Outros Documentos

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