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：蒋炜[1] 赵宗清[1] 袁永腾[1] 郝轶聃[1] 缪文勇[1] 

机构地区：[1]中国工程物理研究院激光聚变研究中心,四川绵阳621900

出　　处：《强激光与粒子束》2011年第9期2365-2368,共4页High Power Laser and Particle Beams

基　　金：国家高技术发展计划项目

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。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.

关 键 词：背光 瑞利-泰勒不稳定性 DAUBECHIES小波 去噪 

分 类 号：O534[理学—等离子体物理]