Skip to main content
Log in

Abstract

Sequence convolution formulae, based on the B-splines of I. J. Schoenberg provide simple and effective methods for smoothing and differentiating data sequences. Their time and frequency domain properties allow calculation of the degree of smoothing and noise rejection, and their z-transforms lead to the rapid calculation of formulae from a simple sequence of polynomials. As an example of their use, numerical differentiation is used to produce smooth velocity—depth profiles and to delineate major velocity discontinuities from time—depth data logged at a well.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Acheson, C. H., 1963, Time—depth and velocity—depth relations in western Canada: Geophysics, v. 28, no. 5, pt. 2, p. 894–909.

    Google Scholar 

  • Anderssen, R. S., and Bloomfield, P., 1972, On the numerical differentiation of data: Aust. Nat. Univ., Computer Centre Tech. Rept. 42, 104 p.

  • Anderssen, R. S., and Bloomfield, P., 1974, A time series approach to numerical differentiation: Technometrics, v. 16, no. 1, p. 69–75.

    Google Scholar 

  • Chan, S. H., and Leong, L. S., 1972, Analysis of least squares smoothing operators in the frequency domain: Geophys. Prospecting, v. 20, p. 892–900.

    Google Scholar 

  • Chan, S. H., and Leong, L. S., 1974, Filtering of discrete time series by symmetric least squares operators: Jour. Math. Geology, v. 6, no. 2, p. 153–171.

    Google Scholar 

  • Clarke, G. K. C., 1969, Optimum second derivative and downward continuation filters: Geophysics, v. 34, no. 3, p. 424–437.

    Google Scholar 

  • Curry, H. B., and Schoenberg, I. J., 1966, On Polya frequency functions, iv: Jour. d'Analyse Math., v. 17, p. 71–107.

    Google Scholar 

  • Jenkins, G. M., and Watts, D. G., 1968, Spectral analysis and its applications: Holden-Day, San Francisco, 525 p.

    Google Scholar 

  • Jupp, D. L. B., and Stewart, I. C. F., 1974, A piecewise exponential model for seismic well logging data: Jour. Math. Geology, v. 6, no. 1, p. 33–45.

    Google Scholar 

  • Karlin, S., 1968, Total positivity, v. 1: Stanford Univ. Press, Stanford, California, 576 p.

    Google Scholar 

  • Schoenberg, I. J., 1946, Contributions to the problem of approximation of equidistant data by analytic functions: Quart. Appl. Math., v. 4, p. 45–99 and p. 112–141.

    Google Scholar 

  • Schoenberg, I. J., 1967, On spline functions,in Inequalities: Academic Press, London and New York, p. 255–291.

    Google Scholar 

  • Schoenberg, I. J., 1969, Cardinal interpolation and spline functions: Jour. Approx. Theory, v. 2, no. 2, p. 167–206.

    Google Scholar 

  • Schoenberg, I. J., and Silliman, S. D., 1974, On semi-cardinal quadrature formulae: Math. Comp., v. 28, no. 126, p. 483–497.

    Google Scholar 

  • Wilf, H. S., 1964, The stability of smoothing by least squares: Proc. AMS, v. 15, p. 933–937.

    Google Scholar 

  • Wood, L. C., and Hockens, S. N., 1970, Least square smoothing operators: Geophysics. v. 35, no. 6, p. 1005–1019.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jupp, D.L. B-splines for smoothing and differentiating data sequences. Mathematical Geology 8, 243–266 (1976). https://doi.org/10.1007/BF01029272

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01029272

Key words

Navigation