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应用小波包识别宁夏及邻区的地震和爆破 被引量:11

Using Wavelet Packet to Discriminate Earthquakes and Explosions in Ningxia and Neighboring Areas
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摘要 将小波变换理论应用于宁夏及邻区的地震和爆破的识别,利用小波包变换系数与射线能量的关系,计算了射线所包含的低频成分和高频成分的能量之比。结果表明,当分解尺度j=1时,对于地震信号,ln(Ω01/Ω11)的值一般小于3,对于爆破信号,ln(Ω01/Ω11)的值一般大于3。 We calculated the energy ratio of low frequency to high frequency of ray based on the relation between ray energy and wavelet packet transform coefficients. The result shows that while decomposition scale is 1, the value ln(Ω0^1/Ω1^1) is generally less than 3.0 for earthquakes, but more than 3.0 for explosions. It is suggested that wavelet transform theory can be applied to the discrimination of the earthquakes and explosions in Ningxia and neighboring areas.
出处 《地震研究》 CSCD 北大核心 2008年第2期142-148,共7页 Journal of Seismological Research
基金 国家“十一五”科技支撑计划(2006BAC01B03-04-02)资助
关键词 小波包 变换系数 能量 地震 爆破 识别 wavelet packet transform coefficient energy earthquake explosion discrimination
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