DocumentCode :
3245211
Title :
Research on mine earthquake location method based on wavelet soft threshold filtering
Author :
Xue, Qiang ; Cheng-Cai Cai ; Wang, Shuo-He
Author_Institution :
Sch. of Electr. & Electron. Eng., Shijiazhuang Tiedao Univ., Shijiazhuang, China
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
285
Lastpage :
289
Abstract :
In relation to the problems of time variability and the complexity of mine earthquake signal while blasting mining, a kind of wavelet soft threshold filter method is proposed. In this paper, the signal before mine earthquake wave arrival time is considered as noise, and is used to determine the wavelet threshold. Then Db4 wavelet is chosen as the wavelet basis function for the wavelet soft threshold filtering. The experimental results show that the noise can be filtered out effectively, and this ensures that the mine earthquake signals at the arrival time is smooth and monotonous, which improves the accuracy of the positioning algorithm.
Keywords :
earthquakes; filtering theory; mining; noise; seismometers; wavelet transforms; arrival time; blasting mining; mine earthquake location method; mine earthquake signal complexity; mine earthquake signals; positioning algorithm; time variability problems; wavelet basis function; wavelet soft threshold filter method; wavelet soft threshold filtering; Earthquakes; Filtering; Noise; Wavelet analysis; Wavelet coefficients; Digital signal processing; Mine earthquake; Soft threshold filtering; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2158-5695
Print_ISBN :
978-1-4673-1534-0
Type :
conf
DOI :
10.1109/ICWAPR.2012.6294794
Filename :
6294794
Link To Document :
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