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Self-organising neural networks : independent component analysis and blind source separation /

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This volume presents the theory and applications of self-organising neural network models which perform the Independent Component Analysis (ICA) transformation and Blind Source Separation (BSS). It is largely self-contained, covering the fundamental concepts of information theory, higher order stati...

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Bibliographic Details
Main Author: Girolami, Mark, 1963-
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London ; New York : Springer, [1999]
Series:Perspectives in neural computing.
Subjects:
Neural networks (Computer science)
Réseaux neuronaux (Informatique)
Hauptkomponentenanalyse.
Signalquelle.
Signaltrennung.
Selbstorganisierende Karte.
Informationstheorie.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This volume presents the theory and applications of self-organising neural network models which perform the Independent Component Analysis (ICA) transformation and Blind Source Separation (BSS). It is largely self-contained, covering the fundamental concepts of information theory, higher order statistics and information geometry. Neural models for instantaneous and temporal BSS and their adaptation algorithms are presented and studied in detail. There is also in-depth coverage of the following application areas; noise reduction, speech enhancement in noisy environments, image enhancement, feature extraction for classification, data analysis and visualisation, data mining and biomedical data analysis. Self-Organising Neural Networks will be of interest to postgraduate students and researchers in Connectionist AI, Signal Processing and Neural Networks, research and development workers, and technology development engineers and research engineers.
Item Description:Electronic resource.
Physical Description:1 online resource (vii, 271 pages) : illustrations.
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:Includes bibliographical references (pages [255]-268) and index.
ISBN:9781447108252 (electronic bk.)
1447108256 (electronic bk.)