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A Modified Ensemble Empirical Mode Decomposition based on the signal-to-noise ratio and winning number of IMFs
WANG Jingtao #,XU Xiaoge *,MENG Xianghua
School of Applied Science, Beijing Information Science and Technology University, Beijing, 100192
*Correspondence author
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Funding: none
Opened online:24 February 2014
Accepted by: none
Citation: WANG Jingtao,XU Xiaoge,MENG Xianghua.A Modified Ensemble Empirical Mode Decomposition based on the signal-to-noise ratio and winning number of IMFs[OL]. [24 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4585195
 
 
In this paper a modified ensemble empirical mode decomposition (EEMD) method is presented, which is named "winning-EEMD"(W-EEMD). Two aspects of the EEMD, the amplitude of added white noise and the number of intrinsic mode functions (IMFs), are discussed in this method. The signal-to-noise ratio is used to measure the amplitude of added noise and the winning number of IMFs (which results most frequency) is used to unify the number of IMFs. By this method, the calculation speed of decomposition is improved, and the relative error between original data and sum of decompositions is reduced. In addition, the feasibility and effectiveness of this method are proved by the example of the oceanic internal solitary wave.
Keywords:ensemble empirical mode decomposition; winning ensemble empirical mode decomposition; signal-to-noise ratio; winning number of intrinsic mode functions
 
 
 

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