• DocumentCode
    2848420
  • Title

    Periodically non-stationary random processes modeling: Approach on the basis of harmonic representation

  • Author

    Javorskyj, I. ; Kravets, Ihor ; Isayev, Ihor ; Brooks, Steve

  • Author_Institution
    Physico-mechanical Institute of NAS of Ukraine, 5 Naukova str., Lviv, 79601, Ukraine, tel. +38 0322 654340, University of Technology and Agriculture, Telecommunication Institute, Al.Prof. S.Kaliskiego, Bydgoszcz, 85796, Poland, tel. +48 523 408378). e-mai
  • fYear
    2005
  • fDate
    12-15 Sept. 2005
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    Theoretical and experimental results of time series modeling are summarized. Special attention is given to periodically correlated random processes (PCRP). It is suggested to use the parametric modeling methods on the basis of PCRP decomposition on stationary processes for construction of the process model. Proposed parametrical model is helpful for veriflcation the efficiency of devices and systems with periodical character of sources.
  • Keywords
    Agriculture; Autoregressive processes; Laboratories; Mathematical model; Parametric statistics; Power harmonic filters; Power system modeling; Random processes; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, Proceedings of Xth International Seminar/Workshop on
  • Print_ISBN
    966-02-3567-4
  • Type

    conf

  • DOI
    10.1109/DIPED.2005.201622
  • Filename
    1564603