Robustness of EFD in Noisy Conditions: A Comparative Study with EWT for EEG and Synthesized Signal

Objective: This paper compares two empirical signal decomposition methods, the Empirical Wavelet Transform (EWT) and the Empirical Fourier Decomposition (EFD), focusing on their performance in decomposing synthetic signals and real EEG data, particularly in noisy environments.The used metrics are Signal-to-Noise Ratio (SNR), Percentage Root Mean Square Error (PRMSE), and Correlation (Corr).For the different scenarios, EFD-based approach shows competitive performance compared to EWT and other methods as well.