On the difference between empirical mode decomposition and wavelet decomposition in the nonlinear time series
Gong Zhi-Qiang, Zou Ming-Wei, Gao Xin-Quan, Dong Wen-Jie, (1)国家气候中心气候研究开放实验室，北京 100081; (2)扬州大学物理科学与技术学院，扬州 225009;国家气候中心气候研究开放实验室，北京 100081; (3)扬州大学物理科学与技术学院，扬州 225009;中国科学院大气物理研究所，北京 100029 · Acta Physica Sinica · 2005
The method of empirical mode decomposition （EMD） based Hilbert transformation is that separate the nonlinear time series into intrinsic mode functions （IMFs ） with different time scale by using EMD, then apply the Hilbert transformation to every IMF to get the Hilbert spectrum.By systematically comparing the advan tages and disadvantages between EMD and wavelet decomposition （WD）, between Hi lbert transformation and wavelet transformation in transacting nonlinear time s eries using ideal time series and 18O time series of Guliya i ce co re on the Tibetan Plateau, we present some improving measures to reduce the di sadvantages. The result of investigation show that the combination of EMD-based and WD-based methods may be more effectively in recognizing the main informatio n of the time series.