APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA
LU Liang, LONG Yuan, ZHONG Ming-shou, XIE Quan-min, LI Xing-hua
1. Engineering Institute of Engineering Corps, University of Science & Technology of PLA,Nanjing 210007, China;2. 72351 Troops,PLA,ShandongLaiwu 271109, China
Abstract:For traditional separating methods have little detail extraction ability for blasting vibration signal with low SNR, FastICA was applied to measure non-Gaussian of independent component in blasting vibration signal, and approximation signal was separated. Efficiency of FastICA was validated combining with numerical simulation and separation study of measurement signal. Experimental results show that, from blasting vibration signal with low SNR, asing fast ICA. approximation signal closed to source signal can be separated by FastICA precisely, and it provided references to introduce of FastICA and rapid detail extraction of blasting vibration signal.
路亮;龙源;钟明寿;谢全民;李兴华. FastICA算法在低信噪比爆破振动信号信噪分离中的应用研究[J]. , 2012, 31(17): 33-37.
LU Liang;LONG Yuan;ZHONG Ming-shou;XIE Quan-min;LI Xing-hua . APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA. , 2012, 31(17): 33-37.