ICA based identification of dynamical systems generating synthetic and real world time series

Soft Computing

Volumn 10, Issue 7, 2006, Pages 587-606

  Ciaramella, Angelo ^a,b   De Lauro, Enza ^a   De Martino, Salvatore ^a,b,c   Falanga, Mariarosaria ^a,b   Tagliaferri, Roberto ^a,b  

^a UNIVERSITY OF SALERNO   (Italy)

^b INFM   (Italy)

^c INFN SEZIONE DI ROMA   (Italy)

Author keywords

Blind source separation; Dynamical systems; Independent component analysis; Signal processing; Stochastic resonance; Time series analysis

Indexed keywords

EID: 33344478059     PISSN: 14327643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00500-005-0515-7     Document Type: Article

References (30)

1. Abarbanel HDI (1996) Analysis of observed chaotic data. Springer, Berlin Heidelberg New York Inc
2. Acernese F, Ciaramella A, De Martino S, Falanga M, Tagliaferri R (2003) Neural networks for blind sources separation of stomboli explosion quakes. IEEE Trans Neural Netw 14:1
3. Amari SI, Cichocki A, Yang HH (1996) A new learning algorithm for blind source separation. Advances in neural information processing systems, 8. MIT Press, Cambridge, pp 757-763
4. Ans B, Hérault J, Jutten C (1985) Adaptive neural architectures: detection of primitives. In: Proceedings of COGNITIVA'85, Paris, France, pp 593-597
5. Bell AJ, Sejnowski TJ (1995) A non-linear information maximization algorithm that performs blind separation. Advances in neural information processing systems 7. The MIT Press, Cambridge, pp 467-474
6. Bell AJ, Sejnowski TJ (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7:1129-1159
7. Acernese F, Ciaramella A, De Martino S, Falanga M, Godano C, Tagliaferri R (2004) Polarisation analysis of the independent components of low frequency events at Stromboli volcano (Eolian Islands, Italy). J Volcanol Geothermal Res 137:153-168
8. Andronov AA, Vitt AA, Khaikin SE (1966) Theory of oscillators. Dover Publication, Inc, New York
9. Bell AJ, Sejnowski TJ (1995) An information-maximisation approach to blind separation and blind deconvolution. Neural Comput 7:1129-1159
10. Benzi R, Sutera A, Vulpiani A (1981) The mechanism of stochastic resonance. J Phy A Math Gen 14:L453
11. Cardoso JF (1998) Multidimensional independent component analysis. In: Proceedings of IEEE International conference on acoustic, speech and signal processing (ICASSP'98), Seattle
12. Cardoso JF, Souloumaic A (1993) Equivariant adaptive source separation, IEE Proc-F 140(6):362-370
13. Chichocki A, Moszczynski L (1992) A new learning algorithm for blind source separation of sources. Electronics Lett 28(21):1986-1987
14. Chichocki A, Unbehauen R (1996) Robust neural networks with on-line learning for blind identification and blind separation of sources. IEEE Trans Circuits Syst 43(11):894-906
15. Ciaramella A, De Lauro E, De Martino S, Falanga MR, Tagliaferri R (2004) ICA for Modelling and Generating Organ Pipes Self-sustained Tones. In: Proceedings of IJCNN 2004, international joint conference on neural networks, pp 25-29. Luglio 2004, IEEE PRESS, Budapest, Hungary, pp 261-266
16. Ciaramella A, De Lauro E, De Martino S, Di Lieto B, Falanga M, Tagliaferri R (2004) Characterization of strombolian events by using independent component analysis. Nonlinear Processes Geophys 11:453-461
17. Comon P (1998) Independent component analysis - a new concept? Signal Processing 36:287-314
18. De Martino S, Falanga M, Mona L (2002) Stochastic resonance mechanism in aerosolic index dynamics. Phys Rev Lett 89:12
19. Gammaitoni L, Hänggi P, Jung P, Marchesoni F (1998) Stochastic resonance. Rev Mod Phys 70(1):223
20. Gallavotti G (1989) Caos, In Physic Science Dictionary of the Italian Enciclopedy, pp 259-279
21. Hérault J, Ans B (1984) Circuits neuronaux è synapses modifiables: Décodage de messages composities par apprentissage non supervisé, C.-R. de l'Accadémie des Sciences 299 (III-13):525-528
22. Hilborn RC (1994) Chaos and nonlinear dynamics. Oxford University Press, Oxford
23. Hyvärinen A, Oja E (1997) A fast fixed-point algorithm for independent component analysis. Neural Comput 9(7):1483-1492
24. Hyvärinen A, Oja E (1999) Survey on independent component analysis. Neural Comput Surv 2:94-128
25. Hyvärinen A, Karhunen J, Oja E (2001) Independent component analysis. Wiley, New York
26. Jutten C (2000) Source separation: From dusk till dawn. In: Proceedings of 2nd International Workshop on ICA and BSS (ICA'2000), Helsinki, Finland, pp 15-26
27. Karhunen J (1996) Neural approach to independent component analysis and sources separation. In: Proceedings of fourth European symposium on artificial neural networks, pp 249-266
28. Oja E, Ogawa H, Wangviwattana J (1991) Learning in non-linear constrained hebbian networks. In: Proceedings of International conference on artificial neural networks (ICANN'91), Espoo, Finland, pp 385-390
29. Osowski S, Majkowski A, Cichocki A, Robust PCA neural network for random noise reduction of the data
30. Rodet X, Vergez C (1999) Nonlinear dynamics in physical models: Simple feedback-loop systems and properties. Comput Music J 23(3):18-34