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基于小波变换的爆破地震信号阈值去噪的应用研究 被引量:12

Study and application of threshold de-noising in seismic signals of blasting based on wavelet transform
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摘要 运用小波变换多尺度分析的思想,在不同的尺度下观察信号不同的局部化特征。利用小波系数的统计特性和噪声本身的性质,应用信号特征估计信号中的噪声形态,提出了一种爆破地震信号小波变换阈值去噪的方法,在小波阈值去噪中准确估计噪声阈值水平,使在消除信号噪声的同时保留信号中弱特征成分。通过理论和实践证明了这种方法能够有效地消除爆破地震信号中的噪声。 The localization of signal could be observed in different scales with the multi-resolution analysis of wavelet transform. Using the statistical characteristic of wavelet coefficient and the quality of noise itself, a method for threshold de-noising in seismic data of blasting was proposed with the characteristic of the signal used to estimate the configuration of the noise. The method could preserve the features of weak components and eliminate the noise of the signal. It was proven theoretically and practically that this method was effective to de-noise in seismic data of blasting.
出处 《岩土工程学报》 EI CAS CSCD 北大核心 2005年第9期1055-1059,共5页 Chinese Journal of Geotechnical Engineering
基金 "十五"国家科技攻关项目(2003BA612A-10-2)
关键词 爆破地震信号 小波变换 多尺度分析 阈值去噪 blasting seismic signal wavelet transform multi-resolution analysis threshold de-noising
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参考文献10

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