• DocumentCode
    3263806
  • Title

    Rhythmic Noisy Signals and Their Models

  • Author

    Pryimak, M. ; Korynkivska, O. ; Proshyn, S.

  • Author_Institution
    Ternopil State Tech. Univ., Ternopil
  • fYear
    2007
  • fDate
    6-8 Sept. 2007
  • Firstpage
    312
  • Lastpage
    314
  • Abstract
    This paper presents examples of stochastically periodical rhythmic noises signals and gives the review of main classes of random processes, with can be used with perpetual argument, as well as their cases - Hauss and Puasson periodical noises. Classification of discrete periodical noises has been performed. The new class - class of periodic processed with investigation by analytical and a statistical method has been emphasized.
  • Keywords
    noise; random processes; signal classification; statistical analysis; Hauss periodical noise; Puasson periodical noise; discrete periodical noise; noise classification; random process; statistical method; stochastically periodical rhythmic noisy signals; Character generation; Conferences; Data acquisition; Distributed information systems; Feedback; Galois fields; Information analysis; Information systems; Information technology; Symmetric matrices; Discrete Periodical Noise; Model; Periodical Noise; Variable Period;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
  • Conference_Location
    Dortmund
  • Print_ISBN
    978-1-4244-1347-8
  • Electronic_ISBN
    978-1-4244-1348-5
  • Type

    conf

  • DOI
    10.1109/IDAACS.2007.4488429
  • Filename
    4488429