• DocumentCode
    3094323
  • Title

    Overcoming the effects of sampling of band-limited stationary analog signals in HOC-based MA modeling

  • Author

    Stogioglou, A.G. ; McLaughlin, S.

  • Author_Institution
    Dept. of Electr. Eng., Edinburgh Univ., UK
  • fYear
    1995
  • fDate
    34841
  • Firstpage
    42461
  • Lastpage
    42466
  • Abstract
    The MA modeling of discrete signals using higher order cumulants (HOC) has been one of the most active areas of research in the higher order statistics literature. The validation of HOC-based FIR system identification algorithms is obtained through digital simulations and it seems that they are very seldom applied (after sampling) to actual continuous signals. In this paper the problems associated with the MA modeling of samples of continuous stationary signals are reviewed, and ways to overcome these problems are discussed. The performance of the new method is demonstrated through Monte Carlo simulations
  • Keywords
    Monte Carlo methods; higher order statistics; signal processing; signal sampling; HOC-based FIR system identification algorithms; HOC-based MA modeling; Monte Carlo simulations; band-limited stationary analog signals; digital simulations; discrete signals; higher order cumulants; higher order statistics; sampling effects;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Higher Order Statistics in Signal Processing: Are They of Any Use? IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950732
  • Filename
    405101