Independent Component Analysis and Signal Separation

7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings

ISBN: 978-3-540-74493-1 (Print) 978-3-540-74494-8 (Online)

Table of contents (105 chapters)

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  1. Front Matter

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  2. Theory

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      Pages 1-8

      A Flexible Component Model for Precision ICA

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      Pages 9-16

      Blind Separation of Instantaneous Mixtures of Dependent Sources

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      Pages 17-24

      The Complex Version of the Minimum Support Criterion

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      Pages 25-32

      Optimal Joint Diagonalization of Complex Symmetric Third-Order Tensors. Application to Separation of Non Circular Signals

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      Pages 33-40

      Imposing Independence Constraints in the CP Model

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      Pages 41-48

      Blind Source Separation of a Class of Nonlinear Mixtures

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      Pages 49-56

      Independent Subspace Analysis Is Unique, Given Irreducibility

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      Pages 57-64

      Optimization on the Orthogonal Group for Independent Component Analysis

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      Pages 65-72

      Using State Space Differential Geometry for Nonlinear Blind Source Separation

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      Pages 73-80

      Copula Component Analysis

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      Pages 81-88

      On Separation of Signal Sources Using Kernel Estimates of Probability Densities

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      Pages 89-96

      Shifted Independent Component Analysis

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      Pages 97-104

      Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities

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      Pages 105-112

      On the Relationships Between Power Iteration, Inverse Iteration and FastICA

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      Pages 113-120

      A Sufficient Condition for the Unique Solution of Non-Negative Tensor Factorization

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      Pages 121-128

      Colored Subspace Analysis

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      Pages 129-136

      Is the General Form of Renyi’s Entropy a Contrast for Source Separation?

  3. Algorithms

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      Pages 137-144

      A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources

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      Pages 145-151

      A New Source Extraction Algorithm for Cyclostationary Sources

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      Pages 152-160

      A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function

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