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.
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Vetterli, M., Perfect reconstruction FIR filter banks: Some properties and factorization, IEEE Trans. Acoust. Speech Signal Process., 1989, 37: 1057–1071.
Jia, R. Q., Zhou, D. X., Convergence of subdivision schemes associated with nonnegative masks, SIAM J. Matrix Anal. Appl., 1999, 21: 418–430.
Han, B., Jia, R. Q., Multivariate refinement equations and convergence of subdivision schemes, SIAM J. Math. Anal., 1998, 29: 1177–1199.
Han, B., Vector cascade algorithms and refinable function vectors in Sobolev spaces, J. Approx. Theory, 2003, 124: 44–88.
Han, B., Mo, Q., Multiwavelet frames from refinable function vectors, Adv.Comp. Math., 2003, 18: 211–245.
Zhou, D. X., Interpolatory orthogonal multiwavelets and refinable functions, IEEE Trans. Signal Process, 2002, 50: 520–527.
Chui, C. K., Lian, J. A., A study on orthonormal multiwavelets, J. Appl. Numer. Math., 1996, 20: 273–298.
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.
Yang, S. Z., Cheng, Z. X., Wang, H. Y., Construction of biorthogonal multiwavelets, J. Math. Anal. Appl., 2002, 276: 1–12.
Yang, S. Z., A fast algorithm for constructing orthogonal multiwavelets, ANZIAM Journal, 2004, 46: 185–202.
Lian, J. A., On the order of polynomial reproduction for multi-scaling functions, Appl. Comp. Harm. Anal., 1996, 3: 358–365.
Plonka, G., Approximation order provided by refinable function vectors, Constr. Approx., 1997, 13: 221–244.
Plonka, G., Strela, V., Construction of multiscaling functions with approximation and symmetry, SIAM J. Math. Anal. Appl., 1998, 29: 481–510.
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.
Fritz, K., Raising Multiwavelet Approximation Order Through Lifting, SIAM J. Math. Anal., 2001, 32: 1032–1049.
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.
Cabrelli, C., Heil, C., Molter, U., Accuracy of lattice translates of several multidimensional refinable functions, J. Approx. Theory, 1996, 95: 5–52.
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.
Peng, L. Z., Wang, Y. G., Parameterization and algebraic structure of 3-band orthogonal wavelet systems, Sci. China Ser. A, 2001, 44: 1531–1543.
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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
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DOI: https://doi.org/10.1007/s11425-005-0040-2