Noise filtering using Empirical Mode Decomposition

In this paper a noise filtering method using the empirical mode decomposition (EMD) is proposed. The noisy signal is decomposed into oscillatory components called intrinsic mode functions (IMFs) using a process referred to as sifting. The basic idea of the proposed scheme is the partial re-construction of the signal using the IMFs corresponding to the most important structures of the signal (low frequency modes). A new criterion is proposed to determine the IMF after which the energy distribution of the important structures of the signal overcomes that of the noise and that of the high frequency components of the signal. The method is tested on simulated and real signals.