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Development of an EMD decomposition program based on the principles of Empirical Mode Decomposition to facilitate deeper understanding of decomposition mechanisms, analysis of methodological advantages, and identification of limitations
EEMD (Ensemble Empirical Mode Decomposition) is a noise-assisted data analysis method developed to overcome EMD's limitations. Its decomposition principle involves: when uniformly distributed white noise is added throughout the time-frequency space, this space becomes segmented into different scale components by a filter bank.