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	Comparison between Windowed FFT and Hilbert-Huang Transform for analyzing time series with Poissonian fluctuations: A case study
	Han, Dong ; Zhang, Shuang-Nan
	2010-05-10 ; 2010-05-10
关键词	methods : data analysis stars : oscillations (including pulsations) X-rays : bursts EMPIRICAL MODE DECOMPOSITION X-RAY BINARIES SPECTRUM Astronomy & Astrophysics
中文摘要	Hilbert-Huang Transform (HHT) is a novel data analysis technique for nonlinear and non-stationary data. We present a time-frequency analysis of both simulated light curves and an X-ray burst from the X-ray burster 4U 1702-429 with both the HHT and the Windowed Fast Fourier Transform (WFFT) methods. Our results show that the HUT method has failed in all cases for light curves with Poissonian fluctuations which are typical for all photon counting instruments used in astronomy, whereas the WFFT method can sensitively detect the periodic signals in the presence of Poissonian fluctuations; the only drawback of the WFFT method is that it cannot detect sharp frequency variations accurately.
语种	英语 ; 英语
出版者	SCIENCE CHINA PRESS ; BEIJING ; 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/22105]
专题	清华大学
推荐引用方式 GB/T 7714	Han, Dong,Zhang, Shuang-Nan. Comparison between Windowed FFT and Hilbert-Huang Transform for analyzing time series with Poissonian fluctuations: A case study[J],2010, 2010.
APA	Han, Dong,&Zhang, Shuang-Nan.(2010).Comparison between Windowed FFT and Hilbert-Huang Transform for analyzing time series with Poissonian fluctuations: A case study..
MLA	Han, Dong,et al."Comparison between Windowed FFT and Hilbert-Huang Transform for analyzing time series with Poissonian fluctuations: A case study".(2010).

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