An Improved EMD Algorithm based on Complete Complementary Adaptive Noise

Conventional EMD has the problems of mode aliasing and endpoint effect, this paper introduced the principle and steps of conventional EMD, and introduced the principles of EEMD, CEEMD and various improved EMD. On the basis of the existing improved methods, combining the ideas of adaptive noise and complementary noise, an improved method Complete Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise (CCEEMDAN) was proposed. The performance of EMD and its improved method, including time domain decomposition results, reconstruction error and iteration times. Experimental results showed that the proposed method can solve the problems of modal aliasing and endpoint effect in EMD. At the same time, the proposed method has a smaller reconstruction error and fewer iterations, which is the closest to the reconstruction error and iteration times of EMD. The effectiveness and superiority of the improved method are proved.