Nonlinear and adaptive undecimated hierarchical multiresolution analysis for real valued discrete time signals via empirical mode decomposition approach-Reference-Cited by-同舟云学术

Nonlinear and adaptive undecimated hierarchical multiresolution analysis for real valued discrete time signals via empirical mode decomposition approach

Published:2015-10 Issue: Volume:45 Page:36-54
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Kuang Weichao,Yang Zhijing,Ling Bingo Wing-Kuen^ORCID,Ho Charlotte Yuk-Fan,Dai Qingyun

Funder

National Nature Science Foundation of China

Doctoral Fund of Ministry of Education of China

Guangdong Higher Education International Cooperative

Guangdong University of Technology

Ministry of Education of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference12 articles.

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3. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis;Huang;Proc. R. Soc. A, Math. Phys. Eng. Sci.,1998

4. Empirical mode decomposition as a filter bank;Flandrin;IEEE Signal Process. Lett.,2004

5. Empirical mode decomposition as data-driven wavelet-like expansions;Flandrin;Int. J. Wavelets Multiresolut. Inf. Process.,2004

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