Simulation Research on ICEEMDAN Combined with Wavelet Threshold Denoising

This paper uses improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) combined with wavelet transform to study denoising, and compares different wavelet denoising threshold setting methods (heuristic threshold, fixed threshold, adaptive threshold, maximum and minimum threshold) to study the impact of different methods on the denoising performance indicators. Finally, simulation experiments are used to verify the effectiveness of the method proposed in this paper. The experimental results show that the method proposed in this paper can achieve effective filtering effect, and the heuristic threshold setting method can achieve the best performance indicators among these four methods.