Adaptive volterra filters using orthogonal structures

IEEE Signal Processing Letters

Volumn 3, Issue 12, 1996, Pages 307-309

  Mathews, V John ^a,b  

^a IEEE

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DIGITAL SIGNAL PROCESSING; MATHEMATICAL MODELS; VECTORS;

ADAPTIVE VOLTERRA FILTERS; GAUSSIAN SIGNALS; GRAM SCHMIDT ORTHOGONALIZERS; LINEAR LATTICE PREDICTOR; ORTHOGONALIZATION;

ADAPTIVE FILTERING;

EID: 0030412294     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.544784     Document Type: Article

References (6)

1. S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
2. T. Koh and E. J. Powers, "An adaptive nonlinear filter with lattice orthogonalization," in P roc. IEEE Int. Conf. Acoust., Speech, Signal Processing, Boston, MA, Apr. 1983.
3. _, "Second-order Volterra filtering and its application to nonlinear system identification," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, no. 6, pp. 1445-1455, Dec. 1985.
4. V. J. Mathews, "Adaptive polynomial filters," IEEE Signal Processing Mag., vol. 8, no. 3, pp. 10-26, July 1991.
5. _, "Orthogonalization of correlated Gaussian signals for Volterra system identification," IEEE Signal Processing Lett., vol. 2, no. 10, pp. 188-190, Oct. 1995.
6. G. L. Sicuranza and G. Ramponi, "Adaptive nonlinear digital filters using distributed arithmetics," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, no. 3, pp. 518-526, June 1986.