IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

All papers by session

Special Session: Independent Component Analysis
Poster Session

A generalized least squares approach to blind separation of sources which have variance dependencies

• Shohei Shimizu (Helsinki Institute for Information Technology, Basic Research Unit)
• Aapo Hyvärinen (Helsinki Institute for Information Technology, Basic Research Unit)
• Yutaka Kano (Division of Mathematical Science)

Asymptotic Performance of the FastICA Algorithm for Independent Component Analysis and Its Iprovements

• Petr Tichavsky (Institute of Information Theory and Automation, Prague, Czech Republic)
• Zbynek Koldovsky (Institute of Information Theory and Automation, Prague, Czech Republic)
• Erkki Oja (Neural Networks Research Centre, Helsinki University of Technology, Finland)

Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the Cramer-Rao Lower Bound

• Zbynek Koldovsky (Faculty of Nuclear Sciences and Physical Engineering)
• Petr Tichavsky (Institute of Information Theory and Automation)

An LMS Viewpoint On The Local Stability Of Second Order Blind Source Separation

• Julien Bourgeois (DaimlerChrysler Research and Technology)

Bayesian noisy ICA for source switching environments

• Jun-ichiro Hirayama (Graduate School of Information Science, Nara Institute of Science and Technology)
• Shin-ichi Maeda (Graduate School of Information Science, Nara Institute of Science and Technology)
• Shin Ishii (Graduate School of Information Science, Nara Institute of Science and Technology)

On Approximate Joint ``Biagonalization" - a Tool for Noisy Blind Source Separation

• Arie Yeredor (Tel-Aviv University)

Non-negative Source Separation using the Maximum Likelihood Approach

• Saïd Moussaoui (UHP Nancy 1, CRAN, CRAN, UMR 7039 CNRS-UHP-INPL)
• David Brie (UHP Nancy 1, CRAN, CRAN, UMR 7039 CNRS-UHP-INPL)
• Cédric Carteret (UHP Nancy 1, LCPME, UMR 7564 UHP-CNRS)

Combined Non-Orthogonal Joint Zero-Diagonalization and Joint Diagonalization for Sources Separation

• Elmostafa Fadaili (STD, ISITV, Univ. Toulon)
• Nadege Thirion-Moreau (STD, ISITV, Univ. Toulon)
• Eric Moreau (STD, ISITV, Univ. Toulon)

Separation of Polynomial Post Non-Linear Mixtures of Discrete Sources

• Boaz Lachover (Tel-Aviv University)
• Arie Yeredor (Tel-Aviv University)

Shifted Non-Negative Matrix Factorisation for Sound Source Separation

• Derry FitzGerald (Cork Institute of Technology)
• Matt Cranitch (Cork Institute of Technology)
• Eugene Coyle (Dublin Institute of Technology)

Generalized Contrast Functions for Blind Source Separation with Unknown Number of Sources

• Mohamed Sahmoudi (TSI, Telecom Paris)