Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 3: March 2014

Noise Reduction of Chaotic Signal Based on Empirical Mode Decomposition

Yang Hong (Northwestern Polytechnical University)
Guohui Li (Xi’an University of Posts and Telecommunications)



Article Info

Publish Date
01 Mar 2014

Abstract

In view of the nonlinear characteristics of chaotic signal, a threshold denoising method of noisy chaotic signal based on empirical mode decomposition (EMD) is presented. Firstly, noisy chaotic signal is decomposed into several intrinsic mode function (IMF) by empirical mode decomposition. Secondly, the intrinsic mode functions of high frequency are respectively processed using threshold method. Finally, we add these IMFs with IMFs of low frequency to achieve denoising signal. The noisy Lorenz chaotic signal is chosen to perform noise reduction. Taking the noisy Lorenz chaotic signal as an example, the proposed method is used. The simulation results show that this method is an efficient method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4015

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