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
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