• DocumentCode
    1881349
  • Title

    The cross-bicepstrum: properties and applications for signal reconstruction and system identification

  • Author

    Brooks, Dana H. ; Nikias, Chrysostomos L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    3433
  • Abstract
    Complex cepstrum techniques are applied to cross-bispectra in order to simultaneously reconstruct three independent finite-time signals, given the cross-bispectrum of the three signals only. The method is applied to simultaneously identify three systems via the cross-bispectrum of their outputs, knowing only the statistics of the input. A least-squares method is presented to estimate the cross-bicepstral parameters of the three signals simultaneously. The method is nonparametric and noniterative, assuming only that the signals (or impulse responses) are exponential, stable, and have no zeros on the unit circle. It takes full advantage of the two-dimensional nature of the bispectrum to reconstruct the three signals (or identify the three systems) simultaneously
  • Keywords
    identification; least squares approximations; signal synthesis; spectral analysis; cross-bicepstrum; impulse responses; independent finite-time signals; input statistics; least-squares method; noniterative method; nonparametric method; signal reconstruction; system identification; Cepstrum; Concurrent computing; Digital signal processing; Gaussian noise; Power measurement; Signal processing; Signal processing algorithms; Signal reconstruction; System identification; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150192
  • Filename
    150192