Buch, Englisch, 101 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 233 g
Buch, Englisch, 101 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 233 g
Reihe: Synthesis Lectures on Signal Processing
ISBN: 978-3-031-01398-0
Verlag: Springer International Publishing
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Linear Source Separation.- Nonlinear Separation.- Final Comments.- Statistical Concepts.- Online Software and Data.