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Characterization of orthonormal high-order balanced multiwavelets in terms of moments

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In this paper, we derive a characterization of orthonormal balanced multiwavelets of order p in terms of the continuous moments of the multiscaling function Φ. As a result, the continuous moments satisfy the discrete polynomial preserving properties of order p (or degree p-1) for orthonormal balanced multiwavelets. We derive polynomial reproduction formula of degree p-1 in terms of continuous moments for orthonormal balanced multiwavelets of order p. Balancing of order p implies that the series of scaling functions with the discrete-time monomials as expansion coefficients is a polynomial of degree p-1. We derive an algorithm for computing the polynomial of degree p-1.

Abstract

In this paper, we derive a characterization of orthonormal balanced multiwavelets of order p in terms of the continuous moments of the multiscaling function Φ. As a result, the continuous moments satisfy the discrete polynomial preserving properties of order p (or degree p-1) for orthonormal balanced multiwavelets. We derive polynomial reproduction formula of degree p-1 in terms of continuous moments for orthonormal balanced multiwavelets of order p. Balancing of order p implies that the series of scaling functions with the discrete-time monomials as expansion coefficients is a polynomial of degree p-1. We derive an algorithm for computing the polynomial of degree p-1.

참고문헌 (11)

  1. S. Bacchelli, "An algebraic construction of k-balanced multiwavelets via the lifting scheme", Numer. Algorithms, 23(4), pp.329~356 (2000)
  2. C. Chui, "Balanced multi-wavelets in Rs", Math. Comp., 74(251), pp.1323~1344 (2005)
  3. F. Keinert, "Wavelets and multiwavelets, Studies in Advanced Mathematics", pp.2004, Chapman & Hall
  4. S.-G. Kwon, "Propreties of moments of orthonormal balanced multiwavelets", J. Appl. Math. & Computing, 12(1), pp.367~373 (2003)
  5. J. Lebrun, "Balanced multiwavelets theory and design", IEEE Trans. Signal Process, 46(4), pp.1119~1125 (1998)
  6. J. Lebrun, "High order balanced multiwavelets", Proc. IEEE ICASSP, pp.1529~1532 (1998)
  7. J. Lebrun, "High-order balanced multiwavelets: theory, factorization, and design", IEEE Trans. Signal Process, 49(9), pp.1918~1930 (2001)
  8. G. Plonka, "From wavelets to multiwavelets. Mathematical methods for curves and surfaces", pp.375~399 (1998), Innov. Appl. Math., Vanderbilt Univ. Press
  9. I. Selesnick, "Multiwavelet bases with extra approximation properties", IEEE Trans. Signal Process, 46(11), pp.2898~2908 (1998)
  10. I. Selesnick, "Interpolating multiwavelet bases and the sampling theorem", IEEE Trans. Signal Process, 47(6), pp.1615~1621 (1999)
  11. I. Selesnick, "Balanced multiwavelet bases based on symmetric r lters", IEEE Trans. Signal Process, 48(1), pp.184~191 (2000)

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