Application research on separating noises from blasting vibration signal based on sgwt
XIE Quan-min1,2; LONG Yuan1; LU Fan-dong1; ZHONG Ming-shou1; MAO Yi-min1
1. Engineering Institute of Engineering Corps, University of Science & Technology of PLA，Nanjing 210007, China；
2. 63988 Troops，PLA．，Jincheng 048000,China
Abstract：To improve the analysis efficiency and quality of the test signal, the second generation wavelet transform was introduced to separate noises from blasting induced vibration signal. By Daubechies and inter-polation subdivision wavelets based on lifting scheme, the wavelets decomposition-threshold denois-ing-reconstruction of blasting induced vibration signals were carried out and satisfactory results were achieved. Through the comparison of denoising quality and efficiency of four different lifting wavelets, the method to select the best one which is suitable for analyzing blasting induced vibration signals was got. The method pro-vides reference for the introduction of SGWT to the analysis of blasting induced vibration signals and can real-ize extracting rapidly of the blasting induced vibration characteristics.
谢全民;龙源;钟明寿;陆凡东;毛益民. SGWT在爆破振动信号信噪分离中的应用研究[J]. , 2012, 31(1): 24-28,4.
XIE Quan-min;LONG Yuan;LU Fan-dong;ZHONG Ming-shou;MAO Yi-min. Application research on separating noises from blasting vibration signal based on sgwt. , 2012, 31(1): 24-28,4.
2012, Vol. 31 
