The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis-Reference-Cited by-同舟云学术

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Published:1998-03-08 Issue:1971 Volume:454 Page:903-995
ISSN:1364-5021
Container-title:Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
language:en
Short-container-title:Proc. R. Soc. Lond. A

Author:

Huang Norden E.¹,Shen Zheng²,Long Steven R.³,Wu Manli C.⁴,Shih Hsing H.⁵,Zheng Quanan⁶,Yen Nai-Chyuan⁷,Tung Chi Chao⁸,Liu Henry H.⁹

Affiliation:

1. 1Laboratory for Hydrospheric Processes/Oceans and Ice Branch, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA

2. Department of Earth and Planetary Sciences, The John Hopkins University, Baltimore, MD 21218, USA

3. Laboratory for Hydrospheric Processes/Observational Science Branch, NASA Wallops Flight Facility, Wallops Island, VA 23337, USA

4. Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA

5. NOAA National Ocean Service, Silver Spring, MD 20910, USA

6. College of Marine Studies, University of Delaware, DE 19716, USA

7. Naval Research Laboratory, Washington, DC, 20375–5000, USA

8. 8Department of Civil Engineering, North Carolina State University, Raleigh, NC 27695–7908, USA

9. 9Naval Surface Warfare Center, Carderock Division, Bethesda, MD 20084–5000, USA

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Link

Reference63 articles.

1. Aki K. & Richards P. G. 1980 Quantitative seismology. San Francisco CA: Freeman.

2. Strong motion seismology;Anderson J. G.;Rev. Geophys. Suppl.,1991

4. Bendat J. S. & Piersol A. G. 1986 Random data: analysis and measurement procedures 2nd edn. New York: Wiley.

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