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Guohui Li
Xi’an University of Posts and Telecommunications

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Noise Reduction of Chaotic Signal Based on Empirical Mode Decomposition Yang Hong; Guohui Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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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
Co-Authors Yang Hong