EMD及小波变换在激波靶像定点中的应用研究

Research on the application of EMD and wavelet transform in the target image of shock wave

弹丸打向靶面产生弹丸激波,弹丸激波含有噪声,不能直接用来判断射击者的实力,需要去噪。小波变换比较适合对于弹丸激波的去噪,采用了"sym8"小波,进行了8层分解。通过比较,选择了Birge-Massart算法,Garrote阈值函数。最终,将EMD与小波去噪联合起来对弹丸激波进行去噪。此种方法可有效去噪。

The shock wave is produced when a projectile hits the target surface,the shock of the projectile can not be directly used to judge the strength of the shooter. Wavelet transform is more suitable for the shock of the projectile to noise,use the ＂Sym8＂ wavelet,8 layers of decomposition. By comparison,the irge-Massart algorithm is selected,and the Garrote threshold function is selected. Finally,the EMD and wavelet denoising combined with the projectile shock wave is carried out. This method can effectively reduce the noise.