• DocumentCode
    1475555
  • Title

    Bootstrapping bispectra: an application to testing for departure from Gaussianity of stationary signals

  • Author

    Zoubir, Abdelhak M. ; Iskander, D. Robert

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    47
  • Issue
    3
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    880
  • Lastpage
    884
  • Abstract
    We propose a bootstrap version of a bispectrum-based test for departure from Gaussianity that achieves high power while maintaining the level of significance, even for small sample sizes. The proposed procedure can be also used to set confidence bands for a measure of the bicoherence of stationary random signals
  • Keywords
    Gaussian processes; signal processing; spectral analysis; testing; bicoherence; bispectrum-based test; bootstrapping bispectra; confidence band; departure from Gaussianity; sample size; significance; stationary random signals; stationary signals; Australia; Biomedical measurements; Distribution functions; Gaussian processes; Radar; Random variables; Signal analysis; Sonar measurements; Stochastic processes; Testing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.747796
  • Filename
    747796