Anglický jazyk

Nonlinear Source Separation

Vydavateľstvo: Springer International Publishing
Rok vydania: 2007
Formát: Paperback
Rozmer: 235 x 191 mm
Jazyk: Anglický jazyk
ISBN: 9783031013980

Na objednávku

32.66 €

bežná cena: 36.29 €

O knihe

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.