Open access peer-reviewed Edited Volume

Independent Component Analysis for Audio and Biosignal Applications

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34,963 Chapter Downloads

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Academic Editor

Ganesh R. Naik
Ganesh R. Naik

RMIT University,
Australia

Published10 October 2012

Doi10.5772/3084

ISBN978-953-51-0782-8

eBook (PDF) ISBN978-953-51-6245-2

Copyright year2012

Number of pages358

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Edited Volume and chapters are indexed in

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  • Dimension
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Table of Contents

Open access  chapters

6. Unsupervised and Neural Hybrid Techniques for Audio Signal Classification

By Andrés Ortiz, Lorenzo J. Tardón, Ana M. Barbancho and Isabel Barbancho

1,873
4
7. Convolutive ICA for Audio Signals

By Masoud Geravanchizadeh and Masoumeh Hesam

2,817
8. Nonlinear Independent Component Analysis for EEG-Based Brain-Computer Interface Systems

By Farid Oveisi, Shahrzad Oveisi, Abbas Efranian and Ioannis Patras

2,630
2
9. Associative Memory Model Based in ICA Approach to Human Faces Recognition

By Celso Hilario, Josue-Rafael Montes, Teresa Hernández, Leonardo Barriga and Hugo Jiménez

1,571
10. Application of Polynomial Spline Independent Component Analysis to fMRI Data

By Atsushi Kawaguchi, Young K. Truong and Xuemei Huang

1,578
2
12. ICA Applied to VSD Imaging of Invertebrate Neuronal Networks

By Evan S. Hill, Angela M. Bruno, Sunil K. Vasireddi and William N. Frost

1,621
13. ICA-Based Fetal Monitoring

By Rubén Martín-Clemente and José Luis Camargo-Olivares

2,316
1
1,774
1
2,057
16. Blind Implicit Source Separation – A New Concept in BSS Theory

By Fernando J. Mato-Méndez and Manuel A. Sobreira-Seoane

1,788

IMPACT OF THIS BOOK AND ITS CHAPTERS

34,963 Total Chapter Downloads

1,548 Total Chapter Views

20 Crossref Citations

16 Web of Science Citations

28 Dimensions Citations

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