Nonlinear source separation

• Main Author: Almeida, L. B.
• Format: Electronic
• Language: English
• Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2006.
• Edition: 1st ed.
• Series: Synthesis lectures on signal processing (Online), #2.
• Subjects: Blind source separation.; Nonlinear theories.
• Online Access: Abstract with links to full text
• Item Description: Part of: Synthesis digital library of engineering and computer science.; Title from PDF t.p. (viewed Oct. 19, 2008).; Series from website.
• Physical Description: 1 electronic text (xii, 101 p. : ill.) : digital file.; Also available in print.
• Format: Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
• Bibliography: Includes bibliographical references (p. 89-99).
• ISBN: 1598290312 (electronic bk.); 9781598290318 (electronic bk.); 1598290304 (pbk.); 9781598290301 (pbk.)
• ISSN: 1932-1694
• Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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. 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.