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基于小波阈值的地震信号去噪处理
Seismic Data De-noising Based on Wavelet Thresholding
【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。
【Abstract】 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.
- 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2010年29期
- 【分类号】P631.443
- 【被引频次】12
- 【下载频次】162