7 7/16 X 9 11/16 in 1. Introduction, by P. Comon and C. Jutten
2. Information, by D.T. Pham
3. Contrast functions, by E. Moreau and P. Com on
4. Likelihood, by J.-F. Cardoso
5. Algebrai c methods after prewhitening, by L. De Lathauwer
6. Iterati ve algorithms, by V. Zarzoso and A. Hyvarinen
7. Second ord er methods based on color, by S. Degerine and A. Yeredor
8. Convolutive mixtures, by M. Castella, A. Chevreuil, and J.-C. Pesquet9. Second order methods based on subspace or linear predicti on, by K. Abed Meraim, D-Z Feng, and W.X. Zheng
10. Algebra ic identification of under-determined mixtures, by P. Comon and L. De La thauwer
11. Sparse Component Analysis (SCA), by R. Gribonva l and M. Zibulesvki
12. Time-frequency domain methods, by N . Thirion-Moreau and M. Amin
13. Bayesian approaches, by A. Mohammad-Djafari and K. Knuth
14. Blind identification und er non negativity constraints, by M. Plumbey and R. Bro
15. Nonlinear mixtures, by C. Jutten, M. Babaie-Zadeh and J. Karhunen
2. Information, by D.T. Pham
3. Contrast functions, by E. Moreau and P. Com on
4. Likelihood, by J.-F. Cardoso
5. Algebrai c methods after prewhitening, by L. De Lathauwer
6. Iterati ve algorithms, by V. Zarzoso and A. Hyvarinen
7. Second ord er methods based on color, by S. Degerine and A. Yeredor
8. Convolutive mixtures, by M. Castella, A. Chevreuil, and J.-C. Pesquet9. Second order methods based on subspace or linear predicti on, by K. Abed Meraim, D-Z Feng, and W.X. Zheng
10. Algebra ic identification of under-determined mixtures, by P. Comon and L. De La thauwer
11. Sparse Component Analysis (SCA), by R. Gribonva l and M. Zibulesvki
12. Time-frequency domain methods, by N . Thirion-Moreau and M. Amin
13. Bayesian approaches, by A. Mohammad-Djafari and K. Knuth
14. Blind identification und er non negativity constraints, by M. Plumbey and R. Bro
15. Nonlinear mixtures, by C. Jutten, M. Babaie-Zadeh and J. Karhunen
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