A closed form solution for a nonlinear wiener filter

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2006, Pages

  Pokharel, Puskal P ^a   Xu, Jian Wu ^a   Erdogmus, Deniz ^b   Principe, Jose C ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING THEORY; NONLINEAR EXTENSION; NONLINEAR WIENER FILTERS;

AUTOCORRELATION; FUNCTION EVALUATION; LINEAR SYSTEMS; NONLINEAR SYSTEMS; PROBLEM SOLVING; TIME SERIES ANALYSIS;

DIGITAL FILTERS;

EID: 33947617234     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. R.J.P. Defigueiredo, and Y. Hu, "On Nonlinear Filtering of Non-Gaussian Processes through Volterra Series," Volterra Equations and Applications, Gordon and Breach Science Publishers, Amsterdam, pp. 197-202, 2000.
2. nd Edition, Prentice Hall, 1998.
3. C.M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
4. K.-R. Müller, A.J. Smola, Gunner Rätsch, B. Schölkopf, J. Kohlmorgen, and V. Vapnik, "Using Support Vector Machines for Time Series Prediction", Advances in Kernel Methods, MIT Press, Cambridge, 1999.
5. V. Vapnik, The Nature of Statistical Learning Theory, Springer Verlag, New York, 1995.
6. Santamaría I., P. P. Pokharel, J. C. Principe, "Generalized Correlation Function: Definition, Properties and Application to Blind Equalization," accepted for IEEE Trans. Signal Processing.
7. N. Aronszajn, "Theory of Reproducing Kernels," Trans. Amer. Math. Soc., vol. 68, pp. 337-404, 1950.
8. E. Parzen, Statistical Methods on Time Series by Hilbert Space Methods, Technical Report no. 23, Applied Mathematics and Statistics Laboratory, Stanford University, 1959.
9. S. Haykin, Adaptive Filter Theory, Prentice Hall, New Jersey, 2002.
10. F. Takens, "Detecting Strange Attractors in Turbulence", Dynamical systems and Turbulence, vol. 898 of Lecture Notes in Mathematics, Springer Verlag, Berlin, pp. 366-381, 1981.