Abstract：Since some or all of spectrum bands of chaotic signal and noise overlap, the chaotic signal cannot be extracted effectively from strong disturbances with the single denoising method, and thus the hybrid Wavelet-SG-EEMD algorithm is presented. The wavelet-Savitzky-Golay(wavelet-SG) algorithm is taken as the pre-filter of ensemble empirical mode decomposition(EEMD) in order to reduce the random white noise and local strong disturbances, and then it is combined with the characteristics restraining mode mixing of EEMD to extract the chaotic signal from complex strong disturbances effectively. The process of the hybrid filtering algorithm is discussed in detail with a simulated signal analysis. Finally, the method is applied to the two-degree-freedom chaotic vibration signals, and the results show that the contaminated noise can be filtered normally.
位秀雷 林瑞霖 刘树勇 王强. 小波SG-EEMD混合算法及混沌去噪应用研究[J]. 振动与冲击, 2015, 34(17): 100-104.
Wei Xiulei Lin Ruilin Liu Shuyong Wang Qiang. Study on Hybrid Wavelet-SG-EEMD Algorithm and Its Application of Chaotic De-noising. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(17): 100-104.
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