Prefiltering approach for optimal polynomial prediction

IEEE Transactions on Signal Processing

Volumn 44, Issue 3, 1996, Pages 701-705

  Laakso, Timo I ^a,b   Ovaska, Seppo J ^c,d  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

^b NOKIA RESEARCH CENTER   (United States)

^c AALTO UNIVERSITY   (Finland)

^d LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

LOW PASS FILTERS; OPTIMIZATION; POLYNOMIALS; RECURSIVE FUNCTIONS; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE;

FIRST ORDER RECURSIVE PREFILTER; HEINONEN NUEVO PREDICTORS; NOISE SUPPRESSION; PREFILTERING APPROACH;

DIGITAL FILTERS;

EID: 0030110713     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.489043     Document Type: Article

References (7)

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3. S. J. Ovaska and O. Vainio, "Recursive linear smoothed Newton predictors for polynomial extrapolation," IEEE Trans. Instrum. Meas., vol. 41, pp. 510-516, Aug. 1992.
4. P. Steffen, "On digital smoothing filters: a brief review of closed form solutions and two new approaches," Circuits, Syst., Signal Processing, vol. 5, no. 2, pp. 187-210, 1986.
5. H. W. Schüßler and P. Steffen, "Some advanced topics in filter design," in Advanced Topics in Signal Processing, J. S. Lim and A. V. Oppenheim, Eds. Englewood Cliffs, NJ: Prentice-Hall, 1988.
6. S. S. Rao, Optimization Theory and Applications, 2nd ed. New Delhi, India: Wiley Eastern, 1984.
7. T. G. Campbell and Y. Neuvo, "Predictive FIR filters with low computational complexity," IEEE Trans. Circuits Syst., vol. 38, pp. 1067-1071. Sept. 1991.