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
Link To Document :
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