Completed Ensemble Empirical Mode Decomposition: a Robust Signal Processing Tool to Identify Sequence Strata

Enhanced Classification of Focal and Generalized Epilepsy Using EEMD and CEEMDAN Methods

“…where, 𝑋 𝑖 (𝑡) represent the signal corrupted by white noise, the white noise is denoted by 𝜔 𝑖 (𝑡), 𝜀 0 is the standard deviation of the white noise, and K represents the trials [16].…”

“…The EEMD modes noted 𝐼𝑀𝐹 𝑗 (𝑡) are obtained by averaging the IMFs obtained throughout the ensemble number of trials -𝐼𝑀𝐹 𝑗 𝑖 (𝑡) [16].…”

“…Mode mixing occurs when signals with significantly different amplitudes coexist within the same intrinsic mode function, or when a signal of similar scale is divided into different IMF components [14]. Recent advancements in signal decomposition have significantly contributed to the use of Empirical Wavelet Transform (EWT) [15], Variational Mode Decomposition (VMD), EEMD [14], Complete Ensemble Empirical Mode Decomposition (CEEMD) [16], and Complete Ensemble EMD with Adaptive Noise (CEEMDAN) techniques [8].…”

Multiple Ionospheric Descending Layers Over Arecibo

“…The residuals of electron densities possess clear wave perturbations. To separate the waves based on their vertical wavelength and time period, an empirical mode decomposition analysis is performed on the residuals of the electron density along the altitude and time, respectively (Herawati et al, 2022;Purba et al, 2018;McDonald et al, 2007).…”