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Independent Component Analysis and Blind Signal Separation

Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, Proceedings

  • Conference proceedings
  • © 2004
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Overview

Editors:
  1. Carlos G. Puntonet

    1. Dept. of Architecture and Computer Technology, University of Granada, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Alberto Prieto

    1. Dept. of Architecture and Computer Technology, University of Granada, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3195)

Included in the following conference series:

Conference proceedings info: ICA 2004.

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Table of contents (158 papers)

  1. Front Matter

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  2. Theory and Fundamentals

    1. A FastICA Algorithm for Non-negative Independent Component Analysis

      • Zhijian Yuan, Erkki Oja
      Pages 1-8
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    2. Blind Source Separation by Adaptive Estimation of Score Function Difference

      • Samareh Samadi, Massoud Babaie-Zadeh, Christian Jutten, Kambiz Nayebi
      Pages 9-17
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    3. Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias

      • Francisco Castells, Jorge Igual, Vicente Zarzoso, José Joaquín Rieta, José Millet
      Pages 18-25
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    4. Gaussianizing Transformations for ICA

      • Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
      Pages 26-32
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    5. New Eigensystem-Based Method for Blind Source Separation

      • Rubén Martín-Clemente, Susana Hornillo-Mellado, Carlos G. Puntonet, José I. Acha
      Pages 33-40
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    6. Optimization Issues in Noisy Gaussian ICA

      • Jean-François Cardoso, Dinh-Tuan Pham
      Pages 41-48
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    7. Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA

      • Mark D. Plumbley
      Pages 49-56
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    8. The Minimum Support Criterion for Blind Signal Extraction: A Limiting Case of the Strengthened Young’s Inequality

      • Sergio Cruces, Iván Durán
      Pages 57-64
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    9. Accurate, Fast and Stable Denoising Source Separation Algorithms

      • Harri Valpola, Jaakko Särelä
      Pages 65-72
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    10. An Overview of BSS Techniques Based on Order Statistics: Formulation and Implementation Issues

      • Yolanda Blanco, Santiago Zazo
      Pages 73-80
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    11. Analytical Solution of the Blind Source Separation Problem Using Derivatives

      • Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, Christian Jutten
      Pages 81-88
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    12. Approximate Joint Diagonalization Using a Natural Gradient Approach

      • Arie Yeredor, Andreas Ziehe, Klaus-Robert Müller
      Pages 89-96
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    13. BSS, Classification and Pixel Demixing

      • Albert Bijaoui, Danielle Nuzillard, Tanusree Deb Barma
      Pages 97-104
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    14. Blind Identification of Complex Under-Determined Mixtures

      • Pierre Comon, Myriam Rajih
      Pages 105-112
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    15. Blind Separation of Heavy-Tailed Signals Using Normalized Statistics

      • Mohamed Sahmoudi, Karim Abed-Meraim, Messaoud Benidir
      Pages 113-120
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    16. Blind Source Separation of Linear Mixtures with Singular Matrices

      • Pando Georgiev, Fabian J. Theis
      Pages 121-128
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    17. Closely Arranged Directional Microphone for Source Separation

      • Yusuke Katayama, Masanori Ito, Allan Kardec Barros, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo et al.
      Pages 129-135
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    18. Estimating Functions for Blind Separation when Sources Have Variance-Dependencies

      • Motoaki Kawanabe, Klaus-Robert Müller
      Pages 136-143
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    19. Framework of Constrained Matrix Gradient Flows

      • Gen Hori
      Pages 144-151
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Keywords

Editors and Affiliations

  • Dept. of Architecture and Computer Technology, University of Granada, Spain

    Carlos G. Puntonet, Alberto Prieto

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