(The Second Artillery Engineering College,Xi’an 710025,China)
Abstract: An improved algorithm of empirical mode decomposition (EMD) based on gene expression programming(GEP) was proposed in this paper to solve the end effect existing in the signal decomposition process of EMD and to restrain the strong impact brought of end effect on signal analysis to improve further the decomposition precision of EMD. After comparing it with three other commonly-used methods namely simulation and experiment and mirror extension, the two indicators of end effect were calculated and evaluated and the instantaneous frequency of original signals was measured and verified ultimately. The simulation results indicate that the divergence degree at both ends of each component is the lowest, the evaluation indicators are more superior, and the instantaneous frequency of the original signal measured is more precise compared with the three traditional improved methods. It has proven that this improved algorithm is more precise and practical in restraining the end effect.
Keywords: EMD; GEP; end effect; instantaneous frequency