• DocumentCode
    785977
  • Title

    Incomplete sampling series and the recovery of missing samples from oversampled band-limited signals

  • Author

    Ferreira, Paulo J S G

  • Author_Institution
    Dept. de Electron. e Telecommun., Aveiro Univ., Portugal
  • Volume
    40
  • Issue
    1
  • fYear
    1992
  • fDate
    1/1/1992 12:00:00 AM
  • Firstpage
    225
  • Lastpage
    227
  • Abstract
    It is well known that a band-limited oversampled signal is completely determined even if an arbitrary finite number of samples is lost. It is shown that an alternative simple proof of this fact carries over to generalized sampling expansions. More precisely, it is shown that any finite number of missing samples can be recovered from the remaining ones, in the case of generalized Kramer sampling expansions, if an appropriate oversampling constraint is satisfied. The recovery can be accomplished either iteratively or noniteratively
  • Keywords
    information theory; Kramer sampling expansions; generalized sampling expansions; incomplete sampling series; information theory; iterative sample recovery; noniterative sample recovery; oversampled band-limited signals; Equations; Fourier series; Sampling methods; Telecommunication computing; Terminology;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.157199
  • Filename
    157199