Abstract
We develop two kinds of inversion formulas of the multiscale convolution approximation which is defined by a convolution kernel φ. The inversion formulas are constructed by a convolution kernel ψ which is defined in terms of φ and has a vanishing moment of order one. A large class of generalized moving average approximations with B-splines, Box-splines and exponential Box-splines (EB-splines) as convolution kernels φ is included in the theory formulated in this paper. The average of distributions is considered, and correspondingly, the formulas related to the EB-splines are obtained from the δ-average.
Similar content being viewed by others
References
C.K. Chui, An Introduction to Wavelets (Academic Press, New York, 1992).
W. Dahmen and C.A. Micchelli, On the theory and application of exponential splines, in: Topics in Multivariate Approximation, eds. C.K. Chui, L.L. Schumaker and P.I. Uteras (Academic Press, New York, 1987) pp. 37–46.
W. Dahmen and C.A. Micchelli, On multivariate E-splines, Adv. in Math. 76 (1989) 33–93.
I. Daubechies, Ten Lectures on Wavelets (SIAM, Philadelphia, PA, 1992).
C. de Boor and J. Hollig, B-splines from parallelepipeds, J. Anal. Math. 42 (1982/1983) 99–115.
Y.S. Li, Refinement smoothing approximation and associated convolution wavelets, Southeast Asian Bull. Math. 20(3) (1996) 15–22.
Y.S. Li, Average of distribution and remarks on Box-splines, Northeast Math. J. 17(2) (2001) 241–252.
Y.S. Li and D. Qi, Spline Function Methods (Science Press Sinica, Beijing, 1979).
I.J. Schoenberg, Contribution to the problem of approximation of equidistant data by analytic functions, Quart. Appl. Math. 4 (1946) 45–49 and 112–141.
E.M. Stein and G. Weiss, Fourier Analysis in Euclidean Space (Princeton Univ. Press, Princeton, NJ, 1971).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Li, Y. The Inversion of Multiscale Convolution Approximation and Average of Distributions. Advances in Computational Mathematics 19, 293–306 (2003). https://doi.org/10.1023/A:1022811005225
Issue Date:
DOI: https://doi.org/10.1023/A:1022811005225