• DocumentCode
    1366355
  • Title

    An adaptive system identification method based on bispectrum

  • Author

    Alshebeili, Saleh A. ; Çetin, A. Enis ; Venetsanopoulos, A.N.

  • Author_Institution
    Dept. of Electr. Eng., Toronto Univ., Ont., Canada
  • Volume
    38
  • Issue
    8
  • fYear
    1991
  • fDate
    8/1/1991 12:00:00 AM
  • Firstpage
    967
  • Lastpage
    969
  • Abstract
    The author presents an adaptive technique for the identification of a linear system driven by white non-Gaussian noise. The system can be a non-minimum phase system. The adaptive identification technique is a least-mean-square (LMS) type algorithm. It is obtained by using the higher order correlations of the system output
  • Keywords
    adaptive systems; identification; least squares approximations; linear systems; adaptive identification technique; adaptive system identification method; bispectrum; higher order correlations; least mean square algorithm; linear system; nonminimum phase system; white non-Gaussian noise; Adaptive systems; Cepstrum; Fourier transforms; Higher order statistics; Least squares approximation; Linear systems; Polynomials; Signal processing algorithms; System identification; White noise;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/31.85642
  • Filename
    85642
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1366355