Abstract
We describe a method of constructing a new kind of splines with compact support on \(\mathbb{R}\). These basis functions consisting of a linear combination of the cardinal B-splines of mixed orders enable us to achieve simultaneously a good sampling approximation and an interpolation of any smooth function.
Similar content being viewed by others
References
Chui, C.K., De Villiers, J.M.: Spline-wavelets with arbitrary knots on a bounded interval: orthogonal decomposition and computational algorithms. Commun. Appl. Anal. 2, 457–486 (1998)
Chui, C.K.: An Introduction to Wavelets. Academic, Boston (1992)
Chui, C.K., Quak, E.: Wavelets on a bounded interval. Numer. Method Approx. Theory 9, 53–75 (1992)
Daubechies, I.: Ten Lectures on Wavelets, CBMS-NSF Regional Conference Series in Applied Mathematics 61. SIAM, Philadelphia (1992)
de Boor, C.: A Practical Guide to Splines. Springer, Berlin Heidelberg New York (1978)
DeVore, R., Lorentz, G.G.: Constructive Approximation. Springer, Berlin Heidelberg New York (1993)
Resnikoff, H.L., Wells Jr., R.O.: Wavelet Analysis. Springer, Berlin Heidelberg New York (1998)
Schoenberg, I.J.: Contributions to the problem of approximation of equidistant data by analytic functions. Q. Appl. Math. 4, 45–99 (part A), 112–141 (part B) (1946)
Ueno, T., Ide, T., Okada, M.: A wavelet collocation method for evolution equations with energy conservation property. Bull. Sci. Math. 127, 569–583 (2003)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ueno, T., Truscott, S. & Okada, M. New spline basis functions for sampling approximations. Numer Algor 45, 283–293 (2007). https://doi.org/10.1007/s11075-007-9119-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11075-007-9119-x