Quantum stochastic filtering

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 3, Issue , 2005, Pages 2161-2167

  Behera, Laxmidhar ^a   Kar, Indrani ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); KALMAN FILTERING; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; QUANTUM THEORY; RECURRENT NEURAL NETWORKS; WAVELET TRANSFORMS;

DENOISE SIGNALS; NEURAL LATTICES; QUANTUM STOCHASTIC FILTERING; WAVELET FILTERS;

STOCHASTIC CONTROL SYSTEMS;

EID: 27944438441     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. M. A. Cohen and S. Grossberg, "Absolute stability of global pattern formation and parallel memory storage by competitive neural networks," IEEE Trans Syst, Man and Cybernetics, vol. 13, pp. 815-826, 1983.
2. S. Amari, "Field theory of self-organizing neural nets," IEEE Trans SMC, vol. SMC-13, no. 5, pp. 741-748, Sept/Oct 1983.
3. L. Behera, M. Gopal, and S. Chaudhury, "On adaptive control of a robot manipulator using inversion of its neural emulator," IEEE Trans Neural Networks, vol. 7, no. 6, pp. 1401-1414, 1996.
4. L. Behera, S. Chaudhury, and M. Gopal, "Applications of self-organizing neural networks in robot tracking control," IEE Proceedings Control Theory and Applications, vol. 145, no. 2, pp. 134-140, 1998.
5. D. J. Amit, Modeling brain function, Springer-verlag,Berlin/Heidelberg, 1989.
6. R. L. Dawes, "Quantum neurodynamics: Neural stochastic filtering with the schroedinger equation," IJCNN Proceedings, p. 133, July 1992.
7. Robert L. Dawes, Rethinking Neural Networks:Quantum Fields and Biological Data, chapter Advances in the theory of quantum neurodynamics, Erlbaum, Hillsdale, N.J., 1993.
8. Sanjay Gupta and R.K.P. Zia, "Quantum neural networks," Journal of Computer and System Sciences, vol. 63, no. 3, pp. 355-383, 2001.
9. R.W. Boyd, Nonlinear Optics, Academic Press, 1991.
10. E. Atlee Jackson, Perspectives of Nonlinear Dynamics, Cambridge, 1991.
11. I. Bialynicki-Birula and J. Mycielski, "Nonlinear wave mechanics," Annals of Physics, vol. 100, pp. 62-93, 1976.
12. A. T. Bahill and L. Stark, "The trajectories of saccadic eye movements," Scientific American, vol. 240, pp. 84-93, 1979.
13. L. Behera, I. Kar, and A. C. Elitzur, "A recurrent quantum neural network model to describe eye tracking of moving targets," Foundations of Physics Letters, 2005, Accepted for publication in quarter III.
14. R. S. Bucy, "Linear and nonlinear filtering," IEEE Proceedings, vol. 58, no. 6, June 1970.
15. L. Behera, New Optimization Techniques in Engineering, chapter Parametric Optimization of a Fuzzy Logic Controller for NonlinearDynamical Systems using Evolutionary Computation, McGraw Hill, 2002.
16. H. Muehlenbein and T. Mahnig, Foundations of Real-World Intelligence, chapter Evolutionary Computation and Beyond, CSLI Publications, 2001.
17. M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice Using MATLAB, Wiley-Interscience, 2001.
18. I. Daubechis, Ten Lectures on Wavelets", Society for Industrial and Applied Mathematics, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1992.
19. S. Mallat, A Wavelet Tour of Signal Processing, Acedemic Press, 1998.
20. Simon Haykin, Communication Systems, John Wiley and Sons, Inc., 4 edition, 2001.