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