基于改进小波阈值去噪法处理Langmuir探针信号  

Data processing of Langmuir probe based on improved wavelet denoising method

作　　者：佟为明[1] 李鹏[1] 陶宝泉[1] 金显吉[1] 

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,哈尔滨150001

出　　处：《核聚变与等离子体物理》2016年第4期297-302,共6页Nuclear Fusion and Plasma Physics

基　　金：国家国际科技合作专项(2011DFR70910)

摘　　要：在分析软硬阈值去噪特点的基础上,提出一种改进的小波阈值函数。根据Langmuir探针I-V特性曲线的特点,提出一种改进的标准差估算方法来计算小波阈值。采用基于改进标准差和改进阈值函数的小波对探针特性曲线进行去噪,仿真结果表明,改进的方法取得了良好的去噪效果,提高了信号的信噪比,降低了均方误差,去噪效果优于传统阈值去噪方法。An improved threshold function is proposed with the characteristics analysis of soft and hard threshold denoising methods. Based on the characteristics ofI-V curve of Langmuir probe, an improved standard deviation estimating method is introduced to calculate the wavelet threshold. Denoisng the characteristic curve with improved threshold function and threshold, and the simulation results show that, the improved denoising method preformed well, the signal noise ratio is improved and the root mean square error is reduced. The denosing effectiveness is better than traditional threshold method.

关 键 词：LANGMUIR探针 小波 去噪 标准差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]