Title :
Time-varying bispectral analysis of nonstationary signals
Author :
Akan, Aydin ; Artan, R. Bagar Ünsal
Author_Institution :
Dept. of Electr. & Eletron. Eng., Istanbul Univ., Turkey
Abstract :
In this paper, we combine the higher order statistics (HOS) and evolutionary spectral analysis approaches for nonstationary signals. HOS are useful for the analysis of nonGaussian, nonlinear and nonstationary properties of processes. Time-frequency analysis is used to reveal the time-varying features of a signal. We present a method for the calculation of a time-dependent higher order spectrum - evolutionary bispectrum - based on the multiwindow Gabor expansion.
Keywords :
higher order statistics; spectral analysis; time-frequency analysis; time-varying systems; evolutionary bispectrum; evolutionary spectral analysis; higher order statistics; multiwindow Gabor expansion; nonGaussian property; nonlinear property; nonstationary signal; time-dependent higher order spectrum; time-frequency analysis; time-varying bispectral analysis; Fourier transforms; Gaussian noise; Higher order statistics; Radio astronomy; Signal analysis; Sonar; Spectral analysis; Speech; Statistical distributions; Time frequency analysis;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224767
