Abstract
A direct input of function samples into the Fast Wavelet Transform often gives inaccurate results. We use the refinement equation for the construction of prefiltering quadrature formulas which are optimal in Sard's sense, i.e.,in the standard class of functions with ‖ f (p)‖2 < ∞. A detailed analysis of the error and several applications are given.
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References
G. Beylkin, On the representation of operators in bases ofcompactly supported wavelets, SIAM J. Numer. Anal. 6 (1992) 1716–1740.
G. Beylkin, R. Coifman and V. Rokhlin, Fast Wavelet Transformand numerical algorithms I, Comm. Pure Appl. Math. 44 (1991) 141–183.
H. Brass, Quadraturverfahren (Vandenhoeck und Ruprecht, Göttingen, 1977).
H. Brass, On the quality of algorithmsbased on spline interpolation, Numer. Algorithms 13 (1996) 159–177.
H. Brass and K.-J. Förster, On the application of the Peanorepresentation of linear functionals in numerical analysis, Preprint (1996).
W. Dahmen and C. Micchelli, Using the refinement equation for evaluating integrals of wavelets, SIAM J. Numer. Anal. 30 (1993) 507–537.
I. Daubechies, Ten Lectures on Wavelets, CBMS-NSF RegionalConference Series in Applied Mathematics 61 (SIAM, Philadelphia, PA, 1992).
S. Ehrich, Pointwise error bounds for orthogonal cardinal splineapproximation, submitted (presently available as Hildesheimer Informatik-Berichte 30/96 or from http://www.informatik.uni-hildesheim.de/~ehrich).
W. Gawronski and U. Stadtmüller, On the zeros of Lerch's transcendental function with real parameters, J. Approx. Theory 53 (1988) 354–364.
A. Sard, Linear Approximation, Mathematical Surveys 9(Amer. Math. Society, Providence, RI, 1963).
I.J. Schoenberg,Monosplines and quadrature formulae, in: Theory and Application of Spline Functions, ed. T.N.E. Greville (Academic Press, New York, 1969) pp. 157–207.
I.J. Schoenberg, Cardinal Spline Interpolation, CBMS-NSF Regional Conference Series in Applied Mathematics 12 (SIAM, Philadelphia, PA, 1973).
L. Schumaker, Spline Functions: BasicTheory (Wiley Interscience, 1981).
G. Strang and T. Nguyen,Wavelets and Filter Banks (Wellesley-Cambridge Press, Wellesley, MA, 1996).
W. Sweldens and R. Piessens, Quadrature formulae andasymptotic error expansions for wavelet approximations of smooth functions, SIAM J. Numer. Anal. 31 (1994) 1240–1264.
S. Wolfram,Mathematica - A System for Doing Mathematics by Computer (Addison Wesley, 2nd ed., 1991).
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Ehrich, S. Sard-optimal prefilters for the Fast Wavelet Transform. Numerical Algorithms 16, 303–319 (1997). https://doi.org/10.1023/A:1019103617219
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DOI: https://doi.org/10.1023/A:1019103617219