SEPARATING TWO BINARY SOURCES FROM A SINGLE NONLINEAR MIXTURE

被引：0

作者：

Diamantaras, Konstantinos I. ^{[1
]}

Papadimitriou, Theophilos ^{[2
]}

机构：

[1] TEI Thessaloniki, Dept Informat, Sindos 57400, Greece

[2] Democritus Univ Thrace, Dept Int Econ Relat & Devel, Komotini 69100, Greece

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

Signal processing; signal reconstruction; INDEPENDENT COMPONENT ANALYSIS; BLIND SOURCE SEPARATION;

D O I：

10.1109/ICASSP.2010.5495302

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper we present a novel blind method for separating two binary sources from a single, arbitrary nonlinear mixture. The method is analytical and does not involve nonlinear optimization. Our approach proceeds by linearizing the problem and extending known, clustering-based results from the linear binary BSS case to the nonlinear case. The proposed algorithm is computationally efficient. Due to the structure of the problem, the true sources are extracted together with a source product adding one more indeterminacy to the usual sign and order indeterminacy of the sources. In some applications (eg. imaging) this indeterminacy can be resolved by visual inspection.

引用

页码：1946 / 1949

页数：4

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