Review of empirical mode decomposition

N. E. Huang

doi:10.1117/12.421232

Review of empirical mode decomposition

N. E. Huang

Cognitive Intelligence and Precision Healthcare Research Center

Research output: Contribution to journal › Conference article › peer-review

74 Scopus citations

Abstract

The newly developed Empirical Mode Decomposition (EMD) and the Hilbert Spectral Analysis method will be reviewed. The EMD is an adaptive decomposition with which any complicated data set can be decomposed into a finite and often small number of Intrinsic Mode Functions. Example of application on the chirp signal form the bat is given to illustrate the potential of the new method.

Original language	English
Pages (from-to)	71-80
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4391
DOIs	https://doi.org/10.1117/12.421232
State	Published - 2001
Event	Wavelet Applications VIII - Orlando, FL, United States Duration: 18 Apr 2001 → 20 Apr 2001

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AB - The newly developed Empirical Mode Decomposition (EMD) and the Hilbert Spectral Analysis method will be reviewed. The EMD is an adaptive decomposition with which any complicated data set can be decomposed into a finite and often small number of Intrinsic Mode Functions. Example of application on the chirp signal form the bat is given to illustrate the potential of the new method.

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JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Wavelet Applications VIII

Y2 - 18 April 2001 through 20 April 2001

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Review of empirical mode decomposition

Abstract

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