一种去除地震背景噪音的新方法
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摘要
结合希尔伯特-黄变换方法,根据信号背景噪音时间延续性假设,提出了一种自适应地震信号去噪算法。利用该算法实现了台站地震监测信号的去噪分析。分析表明:1)该去噪算法能根据背景信号特性有效去除信号的低频干扰;2)该算法可自适应完成信号分解去噪,计算效率高,无时间分辨率和频率分辨率问题;3)该算法处理高频干扰存在缺陷,有待进一步完善。
On the basis of the Hilbert-Huang Transform(HHT) method and according to the assumption of the background noise signal continuity in time domain,an adaptive algorithm of seismic signal denoising is presented.The algorithm,as used to analyze the seismic wave,has certain positive results.Through the analysis following conclusions can be drawn.1)According to the background noise signal characteristics,the algorithm can effectively remove the low-frequency noise signal from the original signal.2)By the use of the adaptive algorithm we can decompose the signal and denoising,and avoid the time resolution and frequency resolution problem.3)The algorithm has the flaw for dealing with high-frequency interferenc,and so needs to be improved.
On the basis of the Hilbert-Huang Transform(HHT) method and according to the assumption of the background noise signal continuity in time domain,an adaptive algorithm of seismic signal denoising is presented.The algorithm,as used to analyze the seismic wave,has certain positive results.Through the analysis following conclusions can be drawn.1)According to the background noise signal characteristics,the algorithm can effectively remove the low-frequency noise signal from the original signal.2)By the use of the adaptive algorithm we can decompose the signal and denoising,and avoid the time resolution and frequency resolution problem.3)The algorithm has the flaw for dealing with high-frequency interferenc,and so needs to be improved.
引文
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2Qiuhui Chen and Norden Huang.A B-spline approach for empirical mode decompositions[J].Advances in Computa-tional Mathematics,2006,24:171-195.
3Norden E Huang Zhengshen and Steven R Long.A newview of nonlinear water waves:the Hilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457.
4张立,等.基于HHT提取重力固体潮的地震前兆信息[J].地震学报,2007,29(2):222-226.(Zhang Li,et al.HHT-based extraction of gravity tide of earthquake precur-sor information[J].Acta Seismologica Sinica,2007,29(2):222-226)
5杨志华,等.一种基于HHT的信号周期性分析方法及应用[J].中山大学学报(自然科学版),2005,44(2):14-18.(Yang Zhihua,et al.Method and applications of periodic signal based on HHT[J].Journal of Sun Yat-sen University(science),2005,44(2):14-18)
6Gabriel Rilling and Paulo Gon alvs.Empirical mode de-composition as a filter bank[J].IEEE Signal Processing Let-ters,2004,11(2):112-114.
2Qiuhui Chen and Norden Huang.A B-spline approach for empirical mode decompositions[J].Advances in Computa-tional Mathematics,2006,24:171-195.
3Norden E Huang Zhengshen and Steven R Long.A newview of nonlinear water waves:the Hilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457.
4张立,等.基于HHT提取重力固体潮的地震前兆信息[J].地震学报,2007,29(2):222-226.(Zhang Li,et al.HHT-based extraction of gravity tide of earthquake precur-sor information[J].Acta Seismologica Sinica,2007,29(2):222-226)
5杨志华,等.一种基于HHT的信号周期性分析方法及应用[J].中山大学学报(自然科学版),2005,44(2):14-18.(Yang Zhihua,et al.Method and applications of periodic signal based on HHT[J].Journal of Sun Yat-sen University(science),2005,44(2):14-18)
6Gabriel Rilling and Paulo Gon alvs.Empirical mode de-composition as a filter bank[J].IEEE Signal Processing Let-ters,2004,11(2):112-114.
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