Title: An adaptive denoising algorithm for chaotic signals based on complete ensemble empirical mode decomposition

Authors: Mengjiao Wang; Weiyu Yu; Jiuchao Feng

Addresses: School of Electronic and Information Engineering, South China University of Technology, EPBOX Co. LtD., Guangzhou 510641, China ' School of Electronic and Information Engineering, South China University of Technology, EPBOX Co. LtD., Guangzhou 510641, China ' School of Electronic and Information Engineering, South China University of Technology, EPBOX Co. LtD., Guangzhou 510641, China

Abstract: In this paper, a new algorithm to denoise chaotic signals based on complete ensemble empirical mode decomposition (CEEMD-based) is proposed. In our scheme, the CEEMD technique is first used to decompose the noisy chaotic signal into the so-called intrinsic mode functions (IMFs). A novel criterion is proposed to determine which modes are used to reconstruct the denoised signal. In the experiments, we compare the proposed method with the algorithm based on empirical mode decomposition (EMD-based) and the algorithm based on ensemble empirical mode decomposition (EEMD-based). The experimental results show that the proposed method performs better than the EMD-based method and the EEMD-based method.

Keywords: complete ensemble empirical mode decomposition; CEEMD; chaos; denoising; adaptive filtering.

DOI: 10.1504/IJICT.2017.087461

International Journal of Information and Communication Technology, 2017 Vol.11 No.4, pp.564 - 575

Available online: 06 Oct 2017 *

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