An Overview of Blind Source Separation Methods for

Authors: Yannick Deville Leonardo Tomazeli Duarte

Publish Date: 2015/8/25

Volume: , Issue: , Pages: 155-167

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Abstract

Whereas most blind source separation BSS and blind mixture identification BMI investigations concern linear mixtures instantaneous or not various recent works extended BSS and BMI to nonlinear mixing models They especially focused on two types of models namely linearquadratic ones including their bilinear and quadratic versions and some polynomial extensions and postnonlinear ones These works are particularly motivated by the associated application fields which include remote sensing processing of scanned images showthrough effect and design of smart chemical and gas sensor arrays In this paper we provide an overview of the above two types of mixing models and of the associated BSS and/or BMI methods and applications

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