A Study on Method of Signal Denoising Based on Wavelet Transform for Micro-Seismicity Monitoring in Large-Scale Rockmass Structures
详细信息
- 责任者：Xu Hongbin (School of Architecture and Civil Engineering ; Xiamen University ; Xiamen 361005 ; China) ; Li Shulin
- 刊名：Acta Seismologica Sinica
- 出版年：2012
- 卷期：34(1)
- 关键词：岩体结构 ; rock mass structure ; 微震 ; microearthquakes
- 页码：p.85-96
- 图表：11 illus., 5 tables, 15 refs.
- 分类号：1702
- issnNo：ISSN0253-3782
- isbnNo：CN11-2021/P
摘要
Based on the multi-channel digital microseism monitoring system in Shizhuyuan mine,this paper applied wavelet denoising method to three different microseismic signals with the result of MATLAB simulation.The results show that the true microseismic signals can be recovered from the noisy signals by removing noise at every wavelet scale,even though noisy signals have low signal to noise ratio or include wide frequency range.The wavelet threshold denoising is suited especially to the denoising of microseismic monitoring signals in large-scale rockmass structures.
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