强激光与粒子束, 2011, 23 (9): 2365, 网络出版: 2011-10-27
基于小波变换的信号去噪在瑞利泰勒不稳定性定标实验中的应用
Denoising based on wavelet transform in RayleighTaylor instability analysis
摘要
采用Daubechies小波分析,对神光Ⅱ装置上流体力学不稳定性实验中样品扰动幅度和X光强度之间定标关系的数据进行了处理,获得了比较理想的去噪效果,并由此得到了平面调制靶波长及材料线性吸收系数等细节信息。该定标关系对准确测量瑞利泰勒不稳定性的增长至关重要。作为对比,利用Wiener滤波方法对数据进行了处理,结果显示在处理这类信号时,Daubechies小波滤波在去除噪声和保留信号细节特征方面明显优于Wiener滤波。
Abstract
In hydrodynamics instability experiment, the quantificational relation between amplitude fluctuation of sample and Xray intensity is important to analysing RayleighTaylor instability exactly. The signaltonoise of the data is alway low due to the complex image environment, thus improving the signaltonoise of the image is inevitable. With the area backlighting, the Xray intensity images were recorded by XSC in ShenguangⅡ facility. Daubechies wavelet filtering and Wiener filtering were used to denoise the data separately. The results show that the Daubechies wavelet filtering is better than the Wiener filtering in denoising and maintaining the detail of the signal.
蒋炜, 赵宗清, 袁永腾, 郝轶聃, 缪文勇. 基于小波变换的信号去噪在瑞利泰勒不稳定性定标实验中的应用[J]. 强激光与粒子束, 2011, 23(9): 2365. Jiang Wei, Zhao Zongqing, Yuan Yongteng, Hao Yidan, Miao Wenyong. Denoising based on wavelet transform in RayleighTaylor instability analysis[J]. High Power Laser and Particle Beams, 2011, 23(9): 2365.