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Proceedings Paper

The summary of Hilbert-Huang transform
Author(s): Shi-De Song; Zhi-chao Yao; Xiao-Na Wang
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Paper Abstract

The widely investigated signals are mainly nonstationary and nonlinear signals, thus it is difficult to get the precise information from the nonstationary and nonlinear signals. Here we introduce a new method to process the nonstationary and nonlinear signals. And this new algorithm makes a good performance on processing the nonstationary and nonlinear signals. This paper mainly describe the basic theory of the new algorithm——Hilbert-Huang Transform. The Hilbert-Huang Transform is composed of Empirical Mode Decomposition and Hilbert transform. The problems of this arithmetic are summarized, such as the end effects, stop criterion and so on, and the solutions of these problems are put forward. This paper also provides some improved methods based on the Empirical Mode Decomposition in the end, such as Adaptive Time Varying Filter Decomposition, Extremum filed Mean Mode Decomposition and Improved Extremum field Mean Mode Decomposition.

Paper Details

Date Published: 11 September 2013
PDF: 7 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890734 (11 September 2013); doi: 10.1117/12.2033233
Show Author Affiliations
Shi-De Song, Dalian Univ. of Technology (China)
Zhi-chao Yao, Dalian Univ. of Technology (China)
Xiao-Na Wang, Dalian Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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