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2: EI 会议 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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cjhycy: 金币+10, 博学EPI+1, 3X 2016-01-08 09:46:54
cjhycy: 金币+10, 博学EPI+1, 3X 2016-01-08 09:46:54
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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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