• DocumentCode
    1328378
  • Title

    Translation invariance and sampling theorem of wavelet

  • Author

    Wang, Qiao ; Wu, Lenan

  • Author_Institution
    Dept. of Radio Eng., Southeast Univ., Nanjing, China
  • Volume
    48
  • Issue
    5
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    1471
  • Lastpage
    1474
  • Abstract
    The sampling theorem for wavelet spaces built by Walter (1992) lacks the translation invariance except for Walter´s weak translation invariant wavelet, i.e., Meyer´s wavelet. Indeed, we must know a priori the shift offset a in the samples {f(n+a);n∈Z}; otherwise, the waveform cannot be recovered since the interpolation function is dependent on this offset. In this correspondence, we generalize our metric functional to metrize weak shiftability and find a somewhat surprising result that the B spline wavelets of order n⩾3 are degenerate shiftable. Thus, we can recover approximately the waveform by double sampling without any information on shift offset a
  • Keywords
    bandlimited signals; interpolation; invariance; signal sampling; splines (mathematics); wavelet transforms; B spline wavelets; bandlimited signals; interpolation function; metric functional; sampling theorem; shift offset; translation invariance; waveform recovery; wavelet spaces; Concrete; Fourier transforms; Interpolation; Mechanical variables measurement; Noise reduction; Quantum mechanics; Sampling methods; Signal analysis; Signal processing algorithms; Spline;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.839994
  • Filename
    839994