• DocumentCode
    2935683
  • Title

    Additive random sampling and exact reconstruction

  • Author

    Lacaze, B. ; Duverdier, A.

  • Author_Institution
    ENSEEIHT, Toulouse, France
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    419
  • Abstract
    This paper treats the case where Z(t) is a continuous wide sense stationary process which is sampled at instants tn=n+An , n∈Z. The series of random gaps An is stationary in the sense weaker than strict second order. We present a necessary and sufficient condition (NSC) for the exact (mean square) linear reconstruction of Z (t)
  • Keywords
    random processes; signal reconstruction; signal sampling; additive random sampling; continuous wide sense stationary process; exact reconstruction; mean square linear reconstruction; necessary condition; random gaps; random process; sufficient condition; Additives; Circuits and systems; Extraterrestrial measurements; Hilbert space; Jitter; Power measurement; Sampling methods; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.550406
  • Filename
    550406
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2935683