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《Acta Seismologica Sinica》 2003-04
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Shi Chunxiang Luo Qifeng (Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092,China)  
After introducing the brief theories of wavelet analysis and Hibert Huang Transform (HHT), several signal data were analyzed by using HHT and wavelet analysis methods. From the comparison of the two kinds results, we can get conclusions as following: Both HHT and wavelet transform can be used to analyze non stationary signal and grasp main characteristics of signal. In HHT the intrinsic mode function (IMF) is directly decomposed from original data, while wavelet components are decomposed according to mother wavelet, which are influenced strongly by the selected mother wavelet. So that IMF can reflect the intrinsic physical characteristics of original data more efficiently. Hilbert spectrum can clearly express the energy distribution with time and frequency. Most energy in Hilbert spectrum from HHT is much more concentrated in the definitive range of time and frequency than that in Morlet spectrum from wavelet analysis. Therefore we consider that HHT is not only one efficient method for analyzing non stationary and non linear data, but also is a useful tool for examining detail characters of time history signal.
【Fund】: 国家自然科学基金 ( 5 0 1780 5 5 )资助项目
【CateGory Index】: P315
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