• DocumentCode
    1336187
  • Title

    Filtering, Sampling, and Reconstruction With Time-Varying Bandwidths

  • Author

    Hao, Yufang ; Kempf, Achim

  • Author_Institution
    Dept. of Appl. Math., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    17
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    241
  • Lastpage
    244
  • Abstract
    The effective bandwidth of a signal can significantly vary in time. To improve sampling efficiency, it would be desirable, therefore, to be able to sample at a correspondingly time-varying rate while maintaining the ability to stably reconstruct the signal from its samples. Fourier theory is too rigid for this purpose but functional analytic tools have allowed a suitable generalization of Shannon sampling. Here, we add to this generalized sampling theory by constructing the corresponding time-varying prefilter. The new filtering technique should open the generalized sampling method to a wide range of applications.
  • Keywords
    Fourier analysis; low-pass filters; signal reconstruction; signal sampling; time-varying filters; Fourier theory; Nyquist rate; Shannon sampling; functional analytic tools; generalized sampling theory; low-pass filter; signal reconstruction; time-varying bandwidths; time-varying prefilter; Low-pass filter; Nyquist rate; Shannon sampling theory; time-varying bandwidth;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2036875
  • Filename
    5337983