基于固有时间尺度分解算法的微震信号去噪
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摘要
针对微震信号的非平稳宽频带特征,采用环境噪声层相关阈值,基于固有时间尺度分解(ITD),建立了一种高效的去噪算法。与小波变换为基础的去噪对比结果表明,ITD算法去噪彻底,去噪波形与原始波形峰值位置精确一致、到时突变细节保留完整,适用于对初至波到时精确拾取和判断。
Aiming at non-stationary broadband characteristics of micro-seismic signals,adopting correlative threshold dependent on the environmental noise variance,an effective de-noising algorithm was established based on intrinsic time-scale decomposition(ITD).Compared with the de-noised signals based on wavelet transform algorithm,denoising waveforms of ITD algorithm which can completely de-noising preserved precisely peak position with the original signals,and the sudden change detail of onset time was reserved exactly,which showed that ITD algorithm may be applied to pick and judge the first arrival of the primary wave accurately.
Aiming at non-stationary broadband characteristics of micro-seismic signals,adopting correlative threshold dependent on the environmental noise variance,an effective de-noising algorithm was established based on intrinsic time-scale decomposition(ITD).Compared with the de-noised signals based on wavelet transform algorithm,denoising waveforms of ITD algorithm which can completely de-noising preserved precisely peak position with the original signals,and the sudden change detail of onset time was reserved exactly,which showed that ITD algorithm may be applied to pick and judge the first arrival of the primary wave accurately.
引文
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[3]Coifman R,M Wickerhauser.Entropy-based algorithmsfor best basis selection[J].IEEE Trans Inform:Theory,1992(38):713-718.
[4]Galiana-Merino J J,Rosa-Herranz J,Giner J,et al.De-noising of short-period seismograms by waveletpacket transform[J].Bull.Seism Soc AM,2003(93):2 334-2 562.
[5]李晶,王振国,陈裕明,等.小波包变换叠前地震资料去噪方法研究[J].成都理工大学学报:自然科学版,2003(5):541-546.
[6]胡昌华,张军波,夏伟,等.基于Matlab的系统分析与设计-小波分析[M].西安:西安电子科技大学出版社,1999:217-232.
[7]Xiangxun C.Discussion of frequency characteristics ofwavelet[J].IEEE Journal of Power Systems,2001,10(2):618-626.
[8]Frei M G.,Osorio I.Intrinsic time-scale decomposi-tion:time-frequency-energy analysis and real-timefiltering of non-stationary signals[J].Proceedings of theRoyal Society of London A,2006,463(2 078):321-342.
[9]Slawmomir Jerzy Gibowicz,Andrzej Kijko.An Introduc-tion to Mining Seismology[M].New York:AcademicPress,1994.
[10]Aki K,Richards P G.Quantitative seismology:theoryand methods,Vol I[M].San Francisco:W H Freemanand Company,1980.
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