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Comparison of wavelet approximation order in different smoothness spaces

Author

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  • M. R. Islam
  • S. F. Ahemmed
  • S. M. A. Rahman

Abstract

In linear approximation by wavelet, we approximate a givenfunction by a finite term from the wavelet series. Theapproximation order is improved if the order of smoothness of thegiven function is improved, discussed by Cohen(2003), DeVore (1998), and Siddiqi (2004). But in the case ofnonlinear approximation, the approximation order is improvedquicker than that in linear case. In thisstudy we proved this assumption only for the Haar wavelet. Haarfunction is an example of wavelet and this fundamental examplegives major feature of the general wavelet. A nonlinear spacecomes from arbitrary selection of wavelet coefficients, whichrepresent the target function almost equally. In this case ourcomputational work will be reduced tremendously in the sense thatapproximation error decays more quickly than that inlinear case.

Suggested Citation

  • M. R. Islam & S. F. Ahemmed & S. M. A. Rahman, 2006. "Comparison of wavelet approximation order in different smoothness spaces," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2006, pages 1-7, July.
  • Handle: RePEc:hin:jijmms:063670
    DOI: 10.1155/IJMMS/2006/63670
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    Cited by:

    1. Shyam Lal & Susheel Kumar, 2016. "Quasi-Positive Delta Sequences and Their Applications in Wavelet Approximation," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2016, pages 1-7, October.

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