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

Denoising based on wavelet transform in RayleighTaylor instability analysis
作者单位
中国工程物理研究院 激光聚变研究中心, 四川 绵阳 621900
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 Xray intensity is important to analysing RayleighTaylor instability exactly. The signaltonoise of the data is alway low due to the complex image environment, thus improving the signaltonoise of the image is inevitable. With the area backlighting, the Xray intensity images were recorded by XSC in ShenguangⅡ facility. Daubechies wavelet filtering and Wiener filtering were used to denoise the data separately. The results show that the Daubechies wavelet filtering is better than the Wiener filtering in denoising 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. Denoising based on wavelet transform in RayleighTaylor instability analysis[J]. High Power Laser and Particle Beams, 2011, 23(9): 2365.

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