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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
Table of Contents:
  • Introduction
  • Background to Blind Source Separation (BSS)
  • Fourth Order Cumulant Based BSS
  • Self Organising Neural Networks
  • The Non-Linear PCA Algorithm and BSS
  • Nonlinear Feature Extraction and BSS
  • Information Theoretic Nonlinear Feature Extraction and BSS
  • Temporal Anti-Hebbian Learning and Blind Separation of Convolutive Mixtures of Sources
  • Conclusions
  • Bibliography.