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AGU: Reviews of Geophysics

 

Keywords

  • Hilbert-Huang transform
  • empirical mode decomposition
  • Hilbert spectrum analysis
  • ensemble empirical mode decomposition

Index Terms

  • Computational Geophysics: Data analysis: algorithms and implementation
  • Global Change: Climate variability
  • Oceanography: Physical: Surface waves and tides
  • Seismology: Earthquake ground motions and engineering seismology
  • Geodesy and Gravity: Earth rotation variations
Abstract
Cited By (8)
 

Abstract

A review on Hilbert-Huang transform: Method and its applications to geophysical studies

Norden E. Huang

Research Center for Adaptive Data Analysis, National Central University, Chungli, Taiwan

Zhaohua Wu

Center for Ocean-Land-Atmosphere Studies, Calverton, Maryland, USA

Data analysis has been one of the core activities in scientific research, but limited by the availability of analysis methods in the past, data analysis was often relegated to data processing. To accommodate the variety of data generated by nonlinear and nonstationary processes in nature, the analysis method would have to be adaptive. Hilbert-Huang transform, consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has been used extensively in geophysical research. In this review, we will briefly introduce the method, list some recent developments, demonstrate the usefulness of the method, summarize some applications in various geophysical research areas, and finally, discuss the outstanding open problems. We hope this review will serve as an introduction of the method for those new to the concepts, as well as a summary of the present frontiers of its applications for experienced research scientists.

Received 10 May 2007; accepted 22 October 2007; published 6 June 2008.

Citation: Huang, N. E., and Z. Wu (2008), A review on Hilbert-Huang transform: Method and its applications to geophysical studies, Rev. Geophys., 46, RG2006, doi:10.1029/2007RG000228.

Cited By

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