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Orthogonal multi-wavelets from matrix factorization

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초록

Accuracy of the scaling function is very crucial in wavelet theory, or correspondingly, in the study of wavelet filter banks. We are mainly interested in vector-valued filter banks having matrix factorization and indicate how to choose block central symmetric matrices to construct multi-wavelets with suitable accuracy.

Abstract

Accuracy of the scaling function is very crucial in wavelet theory, or correspondingly, in the study of wavelet filter banks. We are mainly interested in vector-valued filter banks having matrix factorization and indicate how to choose block central symmetric matrices to construct multi-wavelets with suitable accuracy.

참고문헌 (10)

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  2. Q. H. Chen, "Multivariate filter banks having matrix factorizations", SIAM J. Matrix Anal. Appl., 25(2), pp.517~531 (2003)
  3. I. Daubechies, "Ten Lectures on Wavelets", CBMS-NSF Regional Conference Series in Applied Mathematics (1992), Society for Industrial and Applied Mathematics
  4. C. deBoor, "Approximation orders of FSI spaces in L2(Rd)", Constr. Approx., 14(4), pp.631~652 (1998)
  5. C. Heil, "Approximation by translates of refinable functions", Numer. Math., 73(1), pp.75~94 (1996)
  6. R. Q. Jia, "Approximation properties of multivariate wavelets", Math. Comp., 67(222), pp.647~665 (1998)
  7. Q. Lian, "Some properties on multivariate filter banks with a matrix factorization", Progr. Natur. Sci., 15(2), pp.115~125 (2005)
  8. G. Plonka, "Approximation order provided by refinable function vectors", Constr. Approx., 13(2), pp.221~244 (1997)
  9. H. Xiao, "Lattice structure for paraunitary linear-phase filter banks with accuracy", Acta Math. Sin., 22(3), pp.679~688 (2006)
  10. H. Xiao, "Piecewise Linear Spectral Sequences and Wavelet Filter Banks", 박사, pp.2005

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