• DocumentCode
    1016575
  • Title

    On the estimation of bispectral density function in the case of randomly missing observations

  • Author

    Gabr, M.M. ; Rao, T. Subba

  • Author_Institution
    Alexandria Univ., Egypt
  • Volume
    42
  • Issue
    1
  • fYear
    1994
  • fDate
    1/1/1994 12:00:00 AM
  • Firstpage
    211
  • Lastpage
    216
  • Abstract
    The estimation of the bispectral density function of a stationary stochastic process when some observations are missing according to a point binomial distribution is considered in the paper. The existence of the bispectrum, and its estimation are considered. The methods are illustrated with simulated examples
  • Keywords
    parameter estimation; probability; signal processing; spectral analysis; stochastic processes; bispectral density function estimation; bispectrum; point binomial distribution; randomly missing observations; stationary stochastic process; Computer aided software engineering; Density functional theory; Filters; Gaussian noise; Laplace equations; Noise measurement; Parameter estimation; Signal processing; Signal to noise ratio; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.258142
  • Filename
    258142
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1016575