ON HILBERT SPECTRAL REPRESENTATION: A TRUE TIME-FREQUENCY REPRESENTATION FOR NONLINEAR AND NONSTATIONARY DATA
Huang, Norden E.1; Chen, Xianyao2; Lo, Men-Tzung1; Wu, Zhaohua3,4
刊名ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS
2011-04
卷号3期号:1-2页码:63-93
关键词Hilbert spectrum marginal Hilbert spectrum Fourier spectrum instantaneous frequency spectral resolution sampling rate Nyquist frequency uncertainty principle
ISSN号2424-922X
DOI10.1142/S1793536911000659
英文摘要As the original definition on Hilbert spectrum was given in terms of total energy and amplitude, there is a mismatch between the Hilbert spectrum and the traditional Fourier spectrum, which is defined in terms of energy density. Rigorous definitions of Hilbert energy and amplitude spectra are given in terms of energy and amplitude density in the time-frequency space. Unlike Fourier spectral analysis, where the resolution is fixed once the data length and sampling rate is given, the time-frequency resolution could be arbitrarily assigned in Hilbert spectral analysis (HSA). Furthermore, HSA could also provide zooming ability for detailed examination of the data in a specific frequency range with all the resolution power. These complications have made the conversion between Hilbert and Fourier spectral results difficult and the conversion formula is elusive until now. We have derived a simple relationship between them in this paper. The conversion factor turns out to be simply the sampling rate for the full resolution cases. In case of zooming, there is another additional multiplicative factor. The conversion factors have been tested in various cases including white noise, delta function, and signals from natural phenomena. With the introduction of this conversion, we can compare HSA and Fourier spectral analysis results quantitatively.
资助项目NSF of USA grant[ATM-0917743]
WOS研究方向Mathematics
语种英语
出版者WORLD SCIENTIFIC PUBL CO PTE LTD
WOS记录号WOS:000216764200005
内容类型期刊论文
源URL[http://ir.fio.com.cn:8080/handle/2SI8HI0U/24691]  
专题自然资源部第一海洋研究所
通讯作者Huang, Norden E.
作者单位1.Natl Cent Univ, Res Ctr Adapt Data Anal, Zhongli 32001, Taiwan
2.State Ocean Adm, Inst Oceanog 1, Qingdao, Peoples R China
3.Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA
4.Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA
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Huang, Norden E.,Chen, Xianyao,Lo, Men-Tzung,et al. ON HILBERT SPECTRAL REPRESENTATION: A TRUE TIME-FREQUENCY REPRESENTATION FOR NONLINEAR AND NONSTATIONARY DATA[J]. ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS,2011,3(1-2):63-93.
APA Huang, Norden E.,Chen, Xianyao,Lo, Men-Tzung,&Wu, Zhaohua.(2011).ON HILBERT SPECTRAL REPRESENTATION: A TRUE TIME-FREQUENCY REPRESENTATION FOR NONLINEAR AND NONSTATIONARY DATA.ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS,3(1-2),63-93.
MLA Huang, Norden E.,et al."ON HILBERT SPECTRAL REPRESENTATION: A TRUE TIME-FREQUENCY REPRESENTATION FOR NONLINEAR AND NONSTATIONARY DATA".ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS 3.1-2(2011):63-93.
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