• DocumentCode
    1865052
  • Title

    Wigner polyspectra: higher-order spectra in time varying signal processing

  • Author

    Fonollosa, Javier R. ; Nikias, Chrysostomos L.

  • Author_Institution
    ECE Dept., Northeastern Univ., Boston, MA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    3085
  • Abstract
    The Wigner higher-order spectra (WHOS) are defined as extensions of the Wigner distribution (WD) to higher-order statistics domains. A general class of time-frequency higher-order spectra is also defined in terms of arbitrary higher-order moments of the signal as generalizations of the Cohen´s general class of time-frequency representations. For signal processing applications, discrete time and frequency WHOS distributions are introduced and shown to be implemented with two fast-Fourier-transform-based algorithms. One application in which the Wigner bispectrum is applied for the detection of transient signals embedded in noise is presented. The Wigner bispectrum is compared with the WD and simulation results are given
  • Keywords
    fast Fourier transforms; spectral analysis; Cohen representations; FFT; Wigner bispectrum; Wigner distribution; Wigner higher-order spectra; discrete frequency distributions; discrete time distributions; fast-Fourier-transform-based algorithms; higher-order statistics domains; time varying signal processing; time-frequency representations; transient signal detection; Bismuth; Contracts; Digital signal processing; Fourier transforms; Higher order statistics; Kernel; Signal detection; Signal processing; Signal processing algorithms; Time frequency analysis;
  • 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.1991.150107
  • Filename
    150107