EEMD: A Noise-Assisted Data Analysis Method Addressing EMD's 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.