Skip to main content
Log in

Raising approximation order of refinable vector by increasing multiplicity

  • Published:
Science in China Series A Aims and scope Submit manuscript

Abstract

An algorithm is presented for raising an approximation order of any given orthogonal multiscaling function with the dilation factor α. Let Φ(x)=[φ 1(x)Φ 2(x),...Φr(x)]T be an orthogonal multiscaling function with the dilation factor α and the approximation order m. We can construct a new orthogonal multiscaling function Φ new(x)=[ΦT(x),Φ r+1(x),Φ r+2(x),...Φ r+s (x)]T with the approximation order m+L(L∈ℤ+). In other words, we raise the approximation order of multiscaling function Φ(x) by increasing its multiplicity. In addition, we discuss an especial setting. That is, if given an orthogonal multiscaling function Φ(x)=[φ 1(x)Φ 2(x),...Φr(x)]T is symmetric, then the new orthogonal multiscaling function Φnew (x) not only raise the approximation order but also preserve symmetry. Finally, some examples are given.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Vetterli, M., Perfect reconstruction FIR filter banks: Some properties and factorization, IEEE Trans. Acoust. Speech Signal Process., 1989, 37: 1057–1071.

    MathSciNet  Google Scholar 

  2. Jia, R. Q., Zhou, D. X., Convergence of subdivision schemes associated with nonnegative masks, SIAM J. Matrix Anal. Appl., 1999, 21: 418–430.

    Article  MathSciNet  Google Scholar 

  3. Han, B., Jia, R. Q., Multivariate refinement equations and convergence of subdivision schemes, SIAM J. Math. Anal., 1998, 29: 1177–1199.

    Article  MathSciNet  Google Scholar 

  4. Han, B., Vector cascade algorithms and refinable function vectors in Sobolev spaces, J. Approx. Theory, 2003, 124: 44–88.

    Article  MATH  MathSciNet  Google Scholar 

  5. Han, B., Mo, Q., Multiwavelet frames from refinable function vectors, Adv.Comp. Math., 2003, 18: 211–245.

    MathSciNet  Google Scholar 

  6. Zhou, D. X., Interpolatory orthogonal multiwavelets and refinable functions, IEEE Trans. Signal Process, 2002, 50: 520–527.

    Article  MathSciNet  Google Scholar 

  7. Chui, C. K., Lian, J. A., A study on orthonormal multiwavelets, J. Appl. Numer. Math., 1996, 20: 273–298.

    MathSciNet  Google Scholar 

  8. Yang, S. Z., Cheng, Z. X., Orthonormal multi-wavelets on the interval [0, 1] with multiptiplicity r, Acta Mathematica Sinica(in Chinese), 2002, 45: 789–796.

    MathSciNet  Google Scholar 

  9. Yang, S. Z., Cheng, Z. X., Wang, H. Y., Construction of biorthogonal multiwavelets, J. Math. Anal. Appl., 2002, 276: 1–12.

    Article  MathSciNet  Google Scholar 

  10. Yang, S. Z., A fast algorithm for constructing orthogonal multiwavelets, ANZIAM Journal, 2004, 46: 185–202.

    MATH  Google Scholar 

  11. Lian, J. A., On the order of polynomial reproduction for multi-scaling functions, Appl. Comp. Harm. Anal., 1996, 3: 358–365.

    MATH  MathSciNet  Google Scholar 

  12. Plonka, G., Approximation order provided by refinable function vectors, Constr. Approx., 1997, 13: 221–244.

    Article  MATH  MathSciNet  Google Scholar 

  13. Plonka, G., Strela, V., Construction of multiscaling functions with approximation and symmetry, SIAM J. Math. Anal. Appl., 1998, 29: 481–510.

    MathSciNet  Google Scholar 

  14. Li, H. G., Wang, Q., Wu, L. N., A novel design of lifting scheme from general wavelet, IEEE Trans. Signal Process., 2001, 49: 1714–1717.

    MathSciNet  Google Scholar 

  15. Fritz, K., Raising Multiwavelet Approximation Order Through Lifting, SIAM J. Math. Anal., 2001, 32: 1032–1049.

    MathSciNet  Google Scholar 

  16. He, W. J., Lai, M. J., Construction of bivariate compactly supported biorthogonal box spline wavelets with arbitrarily high regularities, Appl. Comput. Harmon. Anal., 1999, 6: 53–74.

    Article  MathSciNet  Google Scholar 

  17. Cabrelli, C., Heil, C., Molter, U., Accuracy of lattice translates of several multidimensional refinable functions, J. Approx. Theory, 1996, 95: 5–52.

    MathSciNet  Google Scholar 

  18. Strela, V., Heller, P. N., Strang, G. et al., The application of multiwavelet filterbanks to image processing, IEEE Trans.Image Process., 1999, 8: 548–563.

    Article  Google Scholar 

  19. Peng, L. Z., Wang, Y. G., Parameterization and algebraic structure of 3-band orthogonal wavelet systems, Sci. China Ser. A, 2001, 44: 1531–1543.

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, S., Peng, L. Raising approximation order of refinable vector by increasing multiplicity. SCI CHINA SER A 49, 86–97 (2006). https://doi.org/10.1007/s11425-005-0040-2

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11425-005-0040-2

Keywords

Navigation