Independent Component Analysis: Principles and Practice
Stephen L. Roberts, Richard Everson · Medical Entomology and Zoology · 2001
1. Introduction Stephen Roberts and Richard Everson 2. Fast ICA by a fixed-point algorithm that maximizes non-Gaussianity Aapo Hyvarinen 3. ICA, graphical models and variational methods Hagai Attias 4. Nonlinear independent component analysis Juha Karhunen 5. Separation of non-stationary natural signals Lucas Parra and Clay Spence 6. Separation of non-stationary sources: algorithms and performance Jean-Francois Cardoso and Dinh-Tuan Pham 7. Blind source separation by sparse decomposition in a signal dictionary Michael Zibulevsky, Barak Pearlmutter, Pau Bofill and Pavel Kisilev 8. Ensemble learning for blind source separation James Miskin and David MacKay 9. Image processing methods using ICA mixture models Te-Won Lee and Michael S. Lewicki 10. Latent class and trait models for data classification and visualisation Mark Girolami 11. Particle filters for non-stationary ICA Richard Everson and Stephen Roberts 12. ICA: model order selection and dynamic source models William Penny, Stephen Roberts and Richard Everson.