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文章：Comparison between Hilbert-Huang transform and local mean decomposition
會(huì)議:International Conference of Electronic Engineering and Information Science 2015 (ICEEIS2015)，2015 (ICEEIS2015)，17-18
作者：Cai JIanhua

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cjhycy: 金幣+10, 博學(xué)EPI+1, 3X 2016-01-08 09:46:54

Accession number:  20155101698659

Title:  Comparison between Hilbert-Huang transform and local mean decomposition
  Authors:  Cai, J.H.1; Chen, Q.Y.1
  Author affiliation:  1 Institute of Information, Hunan University of Arts and Science, Changde, Hunan, China
  Source title:  Electronic Engineering and Information Science - Proceedings of the 2015 International Conference on Electronic Engineering and Information Science, ICEEIS 2015
Abbreviated source title:  Electron. Eng. Inf. Sci. - Proc. Int. Conf. Electron. Eng. Inf. Sci. ICEEIS
Monograph title:  Electronic Engineering and Information Science - Proceedings of the 2015 International Conference on Electronic Engineering and Information Science, ICEEIS 2015
Issue date:  2015
Publication year:  2015
Pages:  501-505
Language:  English
ISBN-13: 9781138027725
Document type:  Conference article (CA)
Conference name:  International Conference on Electronic Engineering and Information Science, ICEEIS 2015
Conference date:  January 17, 2015 - January 18, 2015
Conference location:  Haikou, China
Conference code: 143779
Publisher:  CRC Press/Balkema
Abstract:  Hilbert Huang transform (HHT) and local mean decomposition (LMD) are two adaptive signal processing methods. Firstly, the principle of two kinds of methods was presented. And then taking the simulated signal as example, the comparative study was carried on through the decomposition and reconstruction, instantaneous amplitude and frequency, time-frequency spectrum and marginal spectrum. Results showed that HHT and LMD decomposition have an adaptive features and the decomposed component can completely reconstruct the original signal. This feature provides conditions for de-noising. The time-frequency spectrums, coming from HHT and LMD, all have strong ability to express time-frequency characterization in details, which can be used to extract the time-frequency features of signal. The compared results indicated that LMD is superior to HHT in some respects, such as in boundary effect, iterative times and computational efficiency. And LMD avoids the phenomenon of false frequency, which often exists in HHT. © 2015 Taylor & Francis Group, London.
Number of references:  5
Main heading: Mathematical transformations
Controlled terms: Computational efficiency  -  Information science  -  Iterative methods  -  Signal processing
Uncontrolled terms: Adaptive signal processing  - Decomposition and reconstruction  -  Hilbert Huang transforms  - Local mean decomposition (LMD)  - Local mean decompositions  -  Time frequency analysis  -  Time frequency features  -  Time-frequency characterization
   Classification code: 716.1 Information Theory and Signal Processing -  921.3 Mathematical Transformations -  921.6 Numerical Methods
   Database:  Compendex

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