EAN: 9783031013980

SYNTHESIS LECTURES ON SIGNAL PROCESSING NONLI...

The purpose of this lecture book is to present the state of the art in nonlinear blind source
separation  in a form appropriate for students  researchers and developers. Source separation
deals with the problem of recovering sources that are observed in a mixed condition. When we
have little knowledge about the sources and about the mixture process  we speak of blind source
separation. Linear blind source separation is a relatively well studied subject  however
nonlinear blind source separation is still in a less advanced stage  but has seen several
significant developments in the last few years.This publication reviews the main nonlinear
separation methods  including the separation of post-nonlinear mixtures  and the MISEP 
ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a
significant depth. A historical overview is also presented  mentioning most of the relevant
results  on nonlinear blind source separation  that have been presented over the years.

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