Empirical Mode Decomposition (EMD) is kind of adaptive decomposition method and it is mainly applied to nonlinear and non-stationary signals. Ensemble Empirical Mode Decomposition (EEMD) method was raised to solve the issue of mixed mode in the traditional Empirical Mode Decomposition. This paper mainly discussed the different effects of EMD and EEMD to the noisy signal. It talked about some problems in applications of EMD and EEMD through particular examples.
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卢珍. 关于经验模态分解与整体经验模态分解的分离效果差别的探讨[J]. 科学技术与工程, 2011, (33): . Lu Zhen. A Study on The Different Separation Effect between EMD and EEMD[J]. Science Technology and Engineering,2011,(33).