Data smoothing by cubic spline filters

IEEE Transactions on Signal Processing

Volumn 46, Issue 10, 1998, Pages 2790-2796

  Feng, Gang ^a  

^a GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANTI-ALIASING; DIGITAL FILTERS; FUNCTIONS; MATRIX ALGEBRA; OPTIMIZATION; PARAMETER ESTIMATION; SPURIOUS SIGNAL NOISE;

CUBIC SPLINE FILTERS; DATA SMOOTHING;

DIGITAL SIGNAL PROCESSING;

EID: 0032188377     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.720380     Document Type: Article

References (8)

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3. Y. Isomichi, "Inverse-quantization method for digital signals and images point-approximation type," Trans. Inst. Electron. Commun. Eng., vol. J63-A, pp. 815-821, 1980 (in Japanese).
4. P. Craven and G. Wahba, "Smoothing noisy data with spline functions," Numerische Mathematik, vol. 31, pp. 377103, 1979.
5. M. Stone, "Cross-validatory choice and assessment of statistical predictions," J. R. Stat. Soc., vol. B36, pp. 111-147, 1974.
6. L. R. Rabiner and B. Gold, Theory and Application of Digital Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1975.
7. T. W. Parks and J. H. McClellan, "A program for the design of linear phase finite impulse response digital filters," IEEE Trans. Audio Electroacoust., vol. AU-20, pp. 195-199, 1972.
8. W. F. Trench, "Inversion of Toeplitz band matrices," Math. Comput., vol. 28, pp. 1089-1095, 1974.