基于小波阈值的地震信号去噪处理
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摘要
地震信号去噪处理是地震勘探所要解决的一项主要任务,提高地震信号信噪比也相应显得尤为重要。提出由Heur-sure选取阈值和软阈值函数对测试信号、合成地震信号及实际地震数据进行二次小波分解分层量化处理,与常规小波阈值去噪相比,对含有高频分量的信号,该方法具有很好的去噪效果。
De-noising of seismic data is a main task of geophysical exploration,improving thesignal-to-noise radio is turning to more and more important accordingly.The threshold is selected by Heursure method and soft threshold function,launches process of second-decomposition on wavelet layer quantification to test signal,synthetic seismic signals and practical seismic data.Compared with conventional wavelet threshold de-noising,this method has more advantage on de-noising to the signal containing high frequency components.
De-noising of seismic data is a main task of geophysical exploration,improving thesignal-to-noise radio is turning to more and more important accordingly.The threshold is selected by Heursure method and soft threshold function,launches process of second-decomposition on wavelet layer quantification to test signal,synthetic seismic signals and practical seismic data.Compared with conventional wavelet threshold de-noising,this method has more advantage on de-noising to the signal containing high frequency components.
引文
1何樵登,熊维纲.应用地球物理教程地震勘探.北京:地质出版社,1991
2Jonesand LF,Levy S.Signal-to-noise ratio enhancement in multichan-nel seismic data via the Karhunen-Loeve transform.Geophysical Pros-pecting,1987;35:12—32
3冷军发,荆双喜,李臻.基于小波多分辨分析的阈值去噪.焦作工学院学报(自然科学版),2002;21(6):443—446
4胡昌华,李国华,刘涛,等.基于MATLAB6.X的系统分析与设计——小波分析.西安:西安电子科技科技大学出版社,2004
2Jonesand LF,Levy S.Signal-to-noise ratio enhancement in multichan-nel seismic data via the Karhunen-Loeve transform.Geophysical Pros-pecting,1987;35:12—32
3冷军发,荆双喜,李臻.基于小波多分辨分析的阈值去噪.焦作工学院学报(自然科学版),2002;21(6):443—446
4胡昌华,李国华,刘涛,等.基于MATLAB6.X的系统分析与设计——小波分析.西安:西安电子科技科技大学出版社,2004
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