• DocumentCode
    1024917
  • Title

    Daubechies Wavelets as Approximate Hilbert-Pairs?

  • Author

    Tay, David B H

  • Author_Institution
    LaTrobe Univ., LaTrobe
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    57
  • Lastpage
    60
  • Abstract
    A Hilbert-pair is a pair of wavelets that are Hilbert transforms of each other. A perfect reconstruction multirate filter bank defines a wavelet if the infinite product formula converges. If one chooses two filter banks arbitrarily, in general, the Hilbert transform relationship is not well approximated. This letter reports on an interesting discovery about the celebrated family of orthonormal Daubechies filters with maximum vanishing moments. It is found that if two filters whose lengths differ by four are chosen from this family, a Hilbert-pair of reasonable approximation quality is obtained. An explanation for this discovery is provided, and lessons that can be learned are discussed.
  • Keywords
    Hilbert transforms; approximation theory; channel bank filters; signal reconstruction; wavelet transforms; Daubechies wavelets; Hilbert transforms; approximate Hilbert-pairs; approximation quality; maximum vanishing moments; orthonormal Daubechies filters; perfect reconstruction multirate filter bank; Delay; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Fourier transforms; Frequency measurement; IIR filters; Low pass filters; Multidimensional signal processing; Wavelet analysis; Complex wavelet; Hilbert pair; dual-tree; orthonormal filter banks;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2007.910318
  • Filename
    4418413