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基于小波变换的阈值降噪方法在地震资料处理中的应用 被引量:7

APPLICATION OF THRESHOLD DENOISING APPROACH USING WAVELET TRANSFORM IN SEISMIC DATA PROCESSING
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摘要 这里主要讨论了小波变换阈值降噪方法的基本原理,并且将广泛使用的通用阈值方法与Birge-Massart阈值方法进行了比较,展现了Birge-Massart阈值选取方法的优越性。通过对模拟数据和实际地震资料的处理结果表明,基于小波变换的Birge-Massart阈值降噪方法对地震信号降噪具有很好的效果。 This paper deals with the basic principle of threshold denoising approach using wavelet transform,and takes the generic threshold method and Birge-Massart threshold method for comparison,displaying the superiority of Birge-Massart threshold selection method.Synthetic data and the real seismic data processing results show that Birge-Massart threshold denoising approach using wavelet transforma is very efficient to seismic data denoising.
出处 《物探化探计算技术》 CAS CSCD 2008年第6期461-464,441-442,共4页 Computing Techniques For Geophysical and Geochemical Exploration
基金 国家自然科学基金(40774064)
关键词 小波变换 阈值 降噪 地震信号 wavelet transform threshold denoise seismic data
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