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B–Splines and Nonorthogonal Wavelets

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3482))

Abstract

The necessary and sufficient conditions for the (non orthogonal) wavelet multiresolution analysis with arbitrary (for example B-spline) scaling function are established.

The following results are obtained:

  1. 1

    the general theorem which declares necessary and sufficient conditions for the possibility of multiresolution analysis in the case of arbitrary scaling function;

  2. 2

    the reformulation of this theorem for the case of B-spline scaling function from W \(_{\rm 2}^{m}\);

  3. 3

    the complete description of the family of wavelet bases generated by B-spline scaling function;

  4. 4

    the concrete construction of the unconditional wavelet bases (with minimal supports of wavelets) generated by B-spline scaling functions which belongs to W \(_{\rm 2}^{m}\).

These wavelet basesare simple and convenient for applications. In spite of their nonorthogonality, these bases possess the following advantages: 1) compactness of set \(\mbox{supp\,}\psi\) and minimality of its measure; 2) simple explicit formulas for the change of level. These advantages compensate the nonorthogonality of described bases.

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References

  1. Daubechies, I.: Ten lectures on wavelets. In: SIAM, Philadelphia, Pennsylvania (1992)

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© 2005 Springer-Verlag Berlin Heidelberg

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Strelkov, N. (2005). B–Splines and Nonorthogonal Wavelets. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424857_68

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  • DOI: https://doi.org/10.1007/11424857_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25862-9

  • Online ISBN: 978-3-540-32045-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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