Nonlinear Source Separation

Erscheinungsjahr 2006
ISBN: 978-1-59829-030-1
Verlag: Morgan & Claypool Publishers

Buch, Englisch, 114 Seiten, Paperback, Format (B × H): 187 mm x 235 mm

Reihe: Synthesis Lectures on Signal Processing

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.

Autoren/Hrsg.

Inhaltsverzeichnis

- Introduction
- Linear Source Separation
- Nonlinear Separation
- Final Comments
- Statistical Concepts
- Online Software and Data