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Automatic spikes detection in seismogram |
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| Authors: | Wang Hai-jun Jin Ping Liu Gui-zhong |
| Affiliation: | 1. Xi'an Jiaotong University, Xi'an 710049, China; Northwest Institute of Nuclear Technology, Xi'an 710024, China 2. Northwest Institute of Nuclear Technology, Xi'an 710024, China 3. Xi'an Jiaotong University, Xi'an 710049, China |
| Abstract: | 4 Conclusions In spikes automatic detection, the algorithm of WNEO present in this paper is superior to that of SNEO and Amplitude Comparing; While using WNEO, basic wavelet function is not important for spikes detection, and scale f/it=1 is enough for wavelet analysis; Processing for data recorded in station AAK shows that the new algorithm can to used in real seismic recores with broad frequency band or short period in different epicenter distance. Foundation item: National Natural Science Foundation of China (60172026). |
| Keywords: | continuous wavelet analysis nonlinear energy operator spikes seismic |
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