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Choice of wavelet transform type for automatically recognition of earthquake and explosion

LU Shi-jun1,HUANG Han-ming2(1.Department of Computer and Information Engineering,Guangdong Vocational and Technical College,Guangzhou510520,China;2.College of Computer and Information Engineering,Guangxi Normal University,Guilin 541004,China)  
In the recognition of earthquake and explosion,wavelet transform receives widely attentions due to its capability of simultaneous depicting wave signal characteristics in time and frequency domain.This paper discusses on the applicability of DWT,static wavelet transform and wavelet packet in the automatically recognition of earthquake and explosion,the classification results of the tests used ν-SVC algorithm.The results showed that if appropriate wavelet base function being used,any of these three types of wavelet transform could be applied to discriminate earthquake and explosion by Shannon entropy feature established from wavelet coefficients.Furthermore,the experiments results also reveal that the higher dimension of the feature vector,the higher correct recognition rate,although the recognition processing time also obviously increases.
【Fund】: 地震行业科研专项基金(200808003)
【CateGory Index】: P631.4
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