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Titolo:
Blind separation of instantaneous mixture of sources based on order statistics
Autore:
Pham, DT;
Indirizzi:
CNRS, Lab Modeling Computat, IMAG, Grenoble, France CNRS Grenoble France NRS, Lab Modeling Computat, IMAG, Grenoble, France
Titolo Testata:
IEEE TRANSACTIONS ON SIGNAL PROCESSING
fascicolo: 2, volume: 48, anno: 2000,
pagine: 363 - 375
SICI:
1053-587X(200002)48:2<363:BSOIMO>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
INDEPENDENT COMPONENT ANALYSIS;
Keywords:
contrast; entropy; independence component analysis; Kullback-Leibler divergence; mutual information; order statistic; quantile; separation of sources;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Pham, DT CNRS, Lab Modeling Computat, IMAG, Grenoble, France CNRS Grenoble France Modeling Computat, IMAG, Grenoble, France
Citazione:
D.T. Pham, "Blind separation of instantaneous mixture of sources based on order statistics", IEEE SIGNAL, 48(2), 2000, pp. 363-375

Abstract

In this paper, we introduce a novel procedure for separating an instantaneous mixture of source based on the order statistics. The method is derived in a general context of independence component analysis, using a contrast function defined in term of the Kullback-Leibler divergence or of the mutualinformation. We introduce a discretized form of this contrast permitting its easy estimation through the order statistics. We show that the local contrast property is preserved and derive a global contrast, exploiting only the information of the support of the distribution (in case this support is finite). Some simulations are given, illustrating the good performance of the method.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 07:56:20