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二代小波包变换在爆破振动信号去噪分析中的应用
APPLICATION OF SECOND GENERATION WAVELET TRANSFORM IN BLASTING VIBRATION SIGNAL DE-NOISING ANALYSIS
【摘要】 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。
【Abstract】 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.
【Key words】 Blasting vibration; De-noising; SGWPT; Lifting algorithm;
- 【文献出处】 工程爆破 ,Engineering Blasting , 编辑部邮箱 ,2011年03期
- 【分类号】TN911.4
- 【被引频次】3
- 【下载频次】130