By

Luis B. Almeida, Jose Moura

Description

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

Book details

• Series: Synthesis Lectures on Signal Processing
• Paperback: 120 pages
• Publisher: Morgan & Claypool Publishers; 1 edition (April 14, 2006)
• Language: English
• ISBN-10: 1598290304
• ISBN-13: 978-1598290301

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