Fourier Analysis of the Approximation Power of Principal Shift-Invariant Spaces

Abstract

Spaces spanned by finitely or countably many translates of one or several basic functions play an important role in spline theory, radial basis function theory, sampling theory and wavelet theory. Spline theory stresses the case when the basic functions are compactly supported, while sampling theory single out the case when the spectrum (i.e., the support of the Fourier transform) of the basic functions is compact. In the radial basis function theory, neither of these is assumed, and instead, the computational simplicity as well as the positive definiteness (i.e., the positivity of the Fourier transform) of the basic functions is preferred. Finally, wavelet theory focuses on the interrelation between the initial space and its dyadic dilates. In all these areas, the underlying space is meant for approximation or decomposition of functions, and thus, the determination of its approximation properties is of basic significance.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1991
Accession Number
ADA246713

Entities

People

  • Amos Ron
  • Carl R. de Boor

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Analytic Functions
  • Bessel Functions
  • Coefficients
  • Errors
  • Exponential Functions
  • Fourier Analysis
  • Fourier Series
  • Integrals
  • Interpolation
  • Literature
  • New York
  • North Carolina
  • Notation
  • Periodic Functions
  • Polynomials
  • Sequences
  • United States

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  • Approximation Theory.
  • Mathematical Modeling and Probability Theory.
  • Theoretical Analysis.

Technology Areas

  • Space