Paper
11 September 2013 The summary of Hilbert-Huang transform
Author Affiliations +
Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 890734 (2013) https://doi.org/10.1117/12.2033233
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shi-De Song, Zhi-chao Yao, and Xiao-Na Wang "The summary of Hilbert-Huang transform", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890734 (11 September 2013); https://doi.org/10.1117/12.2033233
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KEYWORDS
Signal processing

Nonlinear optics

Mirrors

Digital filtering

Fourier transforms

Signal detection

Algorithms

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