CEEMDAN Code Implementation

CEEMDAN code is a sophisticated signal processing algorithm that decomposes complex signals into multiple intrinsic mode functions (IMFs) with distinct local characteristics. As an enhanced version of the Ensemble Empirical Mode Decomposition (EEMD), this implementation incorporates adaptive noise handling mechanisms to better analyze nonlinear and non-stationary signals. The algorithm systematically performs multiple decomposition iterations with controlled Gaussian white noise injections, followed by ensemble averaging to extract stable IMF components. Key functions typically include signal preprocessing, noise-assisted decomposition loops, mode extraction routines, and Hilbert spectral analysis capabilities. This method has demonstrated significant applications across speech recognition, vibration analysis, image processing, and biomedical signal interpretation domains. For researchers and engineers requiring advanced signal decomposition with improved mode separation and reduced noise interference, the CEEMDAN implementation provides a robust solution with parameters customizable for specific signal characteristics.