• DocumentCode
    719274
  • Title

    Kramer´s generalized sampling of stochastic processes

  • Author

    Sinuk Kang

  • Author_Institution
    Div. of Math. & Informational Stat., Wonkwang Univ., South Korea
  • fYear
    2015
  • fDate
    25-29 May 2015
  • Firstpage
    241
  • Lastpage
    243
  • Abstract
    Several sampling theorems for deterministic signals are known to have their counterparts for stochastic signals. Motivated by Kramer´s result on generalized sampling of band-limited deterministic signals, we obtain generalized sampling expansions of a certain class of stochastic processes which are not necessarily wide sense stationary.
  • Keywords
    signal sampling; stochastic processes; band limited deterministic signal; stochastic process Kramer generalized sampling; stochastic signal; Fourier series; Fourier transforms; Kernel; Random processes; Signal analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sampling Theory and Applications (SampTA), 2015 International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/SAMPTA.2015.7148888
  • Filename
    7148888
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=719274