Semi-Quantitative Modeling for EMD
Chenxi Shao, Zhu Zhizhi, Qiyu Shao, Xing-Fu Wang, Fuyou Miao, Weihua Wang, Ying Zhang · DEStech Transactions on Computer Science and Engineering · 2018
In this paper, fully considering that the end effect is an uncertain problem in essence, we proposed a semi-quantitative modeling method, called SQME, to mitigate the effect. By SQME, the qualitative behaviors and the extreme points at both ends are predicted well in the time domain, and the data extension is more reasonable. The feasibility of SQME is illustrated in theory. The simulation and experiment results show that SQME can mitigate the end effect of EMD effectively, and the standard error between the extended series and the actual series is controlled within 1%.