谢全民;
XIE Quan-min(63988 Troops,PLA.,Jincheng 048000,Shanxi,China)

• 1:中国人民解放军63988部队

摘要(Abstract)：

在提升算法及小波包变换原理基础上,构造了基于插值细分的小波SGW(6,6);介绍了基于最优提升小波包基分解的阈值去噪算法,将实测爆破振动信号通过二代小波包分解,对小波包系数进行阈值量化,再对阈值处理后的系数进行重构,成功地实现了爆破振动测试信号中的噪声去除。为将二代小波包变换引入到爆破振动效应分析研究领域奠定了基础。
Based on lifting algorithm and second generation wavelet packet transform(SGWPT) principle,SGW(6,6) was constructed by the way of interpolation subdivision.Threshold de-noising algorithm was introduced based on decomposition of optimal lifting wavelet packet,blasting vibration signals monitored were decomposed by SGWPT,wavelet packet coefficients were reconstructed after they were quantified by thresholds,and noise in blasting vibration test signals were removed successfully.So the paper laid a foundation for introducing SGWPT into blasting vibration effect analysis.

关键词(KeyWords)： 爆破振动;去噪;二代小波包变换;提升算法
Blasting vibration;De-noising;SGWPT;Lifting algorithm

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(10772198);; 解放军理工大学预研基金项目(20110305)

作者(Authors): 谢全民;
XIE Quan-min(63988 Troops,PLA.,Jincheng 048000,Shanxi,China)

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