Denoising of chaotic signals based on ensemble empirical mode decomposition

A new approach to denoise chaotic signals based on ensemble empirical mode decomposition (EEMD) is proposed. The EEMD technique is first used to decompose the noisy chaotic signal into the so-called intrinsic mode functions (IMFs). A criterion is proposed to determine which modes are used to reconstruct the denoised signal. Computer simulations are used to demonstrate the effect of the method. The results are compared with the signal-filtering approach based on empirical mode decomposition (EMD-based). It is found that the method proposed in this paper performs better than the EMD-based approach.