CEEMDAN
CEEMDAN, or Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, is an advanced signal processing technique derived from the Ensemble Empirical Mode Decomposition (EEMD) method. Developed to address limitations in traditional decomposition approaches, CEEMDAN enhances the accuracy and robustness of empirical mode decomposition (EMD) by incorporating adaptive noise and an ensemble strategy.
The core idea behind CEEMDAN is to decompose a signal into a set of Intrinsic Mode Functions
CEEMDAN is particularly useful in applications requiring high-frequency resolution, such as time-series analysis, fault detection, and
Compared to other decomposition techniques, CEEMDAN offers improved signal fidelity and reduced mode mixing, which is