1. Introduction to blind signal processing
2. Solving a system of Algebraic equations and related problems
3. Principal/minor component analysis and related problems
4. Blind correlation and SOS for robust blind identification
5. Sequentional blind signal extraction
6. Natural gradient approach to independent component analysis
7. Locally adaptive algorithms for ICA and their implementations
8. Robust techniques for BSS and ICA with noisy data
9. Multichannel blind disconvolation: Natural gradient approach
10. Estimating functions and supper efficiency for ICA and deconvolution
11. Blind filtering and separation using a state-space approach
12. Nonlinear state space models – semi-blind signal processing
13. Appendix – mathematical preliminaries
References
14. Glossary of symbols and abbreviations
Index