Book Cover
E-book
Author Almeida, Luis Bigotte de.

Title Nonlinear source separation / Luis B. Almeida
Edition 1st ed
Published Cham, Switzerland : Springer, ©2006
Online access available from:
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Description 1 online resource (xii, 101 pages)
Series Synthesis lectures on signal processing ; #2
Synthesis lectures on signal processing (Online) ; #2.
Contents 1. Introduction. -- 1.1. Basic concepts -- 1.2. Summary -- 2. Linear source separation -- 2.1. Statement of the problem -- 2.2. INFOMAX -- 2.3. Exploiting the time-domain structure -- 2.4. Other methods : JADE and FastICA -- 2.5. Summary -- 3. Nonlinear separation -- 3.1. Post-nonlinear mixtures -- 3.2. Unconstrained nonlinear separation -- 3.3. Conclusion -- 4. Final comments -- A. Statistical concepts -- A.1. Passing a random variable through its cumulative distribution function -- A.2. Entropy -- A.3. Kullback-Leibler divergence -- A.4. Mutual information -- B. Online software and data
Summary 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
Notes Title from PDF title page (viewed Mar. 23, 2006)
Bibliography Includes bibliographical references (pages 89-99)
Notes English
Subject Blind source separation.
Nonlinear theories.
COMPUTERS -- Information Theory.
TECHNOLOGY & ENGINEERING -- Signals & Signal Processing.
Blind source separation
Nonlinear theories
Form Electronic book
ISBN 1598290312
9781598290318
9783031025266
3031025261