• DocumentCode
    2609874
  • Title

    Robust frequency-domain bicoherence estimation

  • Author

    FACKRELL, Justin W A ; STOGIOGLOU, Achilleas G. ; Mclaughlin, Steve

  • Author_Institution
    Dept. of Electr. Eng., Edinburgh Univ., UK
  • fYear
    1996
  • fDate
    24-26 Jun 1996
  • Firstpage
    206
  • Lastpage
    209
  • Abstract
    Estimates of higher order statistical quantities (such as the bicoherence) have higher variances than their second-order counterparts. Reliable estimates can be obtained by using longer data records, but in practice this is often not possible. In direct-method bicoherence estimation, estimates from shorter records can be highly dependent on measurement errors and background noise. To try to get around these problems, a new bicoherence measure based on the α-trimmed mean bispectrum is described. Simulations indicate how well this new measure performs compared to the standard bicoherence measure
  • Keywords
    frequency estimation; frequency-domain analysis; higher order statistics; spectral analysis; α-trimmed mean bispectrum; background noise; direct-method bicoherence estimation; higher order statistical quantities; measurement errors; robust frequency-domain bicoherence estimation; Background noise; Frequency estimation; Laboratories; Measurement standards; Performance evaluation; Phase detection; Probability distribution; Robustness; Signal processing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
  • Conference_Location
    Corfu
  • Print_ISBN
    0-8186-7576-4
  • Type

    conf

  • DOI
    10.1109/SSAP.1996.534854
  • Filename
    534854