College of Geo-Exploration Science and Technology��Jilin University��Changchun 130026��China

Empirical mode decomposition (EMD) is a powerful tool of time-frequency analysis�� EMD decompo- ses a signal into a series of sub-signals��called Intrinsic mode functions (IMFs)�� Each IMF contains different frequency components which can deal with the nonlinear and non-stationary of signal�� Complete ensemble em- pirical mode decomposition (CEEMD) is an improved algorithm��which can provide an accurate reconstruction of the original signal and better spectral separation of the modes�� The authors studied the decomposition result of a synthetic signal obtained from EMD and CEEMD�� The result shows that the CEEMD has suitability in spec- trum decomposition time-frequency analysis�� Compared with traditional methods��a higher time-frequency reso- lution is obtained through verifying the method on both synthetic and real data��