• DocumentCode
    986288
  • Title

    Recovering Periodically Spaced Missing Samples [DSP Tips & Tricks]

  • Author

    Bariska, Andor

  • Author_Institution
    Zurich Univ. of Appl. Sci., Winterthur
  • Volume
    24
  • Issue
    6
  • fYear
    2007
  • Firstpage
    127
  • Lastpage
    129
  • Abstract
    We presented a novel method to recover periodically missing samples from appropriately bandlimited signals. We used filterbanks with fractional delay filters as building blocks, and described a windowed-sine method to approximate the fractional delays with FIR subfilters. Because the implementation of filterbanks and the approximation of fractional delay filters are well-studied problems, this makes the proposed recovery method flexible and easy to implement.
  • Keywords
    FIR filters; bandlimited signals; channel bank filters; delay filters; filtering theory; FIR subfilters; bandlimited signals; filterbanks; fractional delay filters; periodically spaced missing samples; signal recovery method; windowed-sine method; Algorithm design and analysis; Digital signal processing; Frequency; Sampling methods; Signal design; Signal processing; Signal processing algorithms; Signal sampling; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.905890
  • Filename
    4387947