Part I Fundamental Theories1. Introduction2. Model-based blind source separation3. Adaptive learning machine
Part II Advanced Studies4. Independent component analysis5. Nonnegative matrix factorization6. Nonnegative tensor factorization7. Deep neural network8. Summary and Future Trends