Time-varying bispectral analysis of non-stationary signals

被引：2
|
作者：
Akan, A [1 ]
Artan, RBÜ [1 ]
机构：
[1] Istanbul Univ, Dept Elect & Elect Engn, TR-34850 Istanbul, Turkey
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/ISSPA.2003.1224767
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we combine the Higher Order Statistics (HOS) and evolutionary spectral analysis approaches for non-stationary signals. HOS are useful for the analysis of non-Gaussian, non-linear and non-stationary 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 multi-window Gabor expansion.
引用
收藏
页码：569 / 572
页数：4
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