行波管输出信号改进的小波阈值降噪法
详细信息 查看官网全文
- 论文作者：沈长圣 ; 吴安全 ; 樊鹤红 ; 柏宁丰 ; 肖金标 ; 孙小菡
- 年：2016
- 作者机构：东南大学电子器件与系统可靠性研究所;
- 论文关键词：行波管 ; 信号降噪 ; 小波阈值
- 会议召开时间：2016-08-23
- 会议录名称：2016真空电子学分会第二十届学术年会论文集（下）
- 语种：中文
- 分类号：TN124
- 学会代码：ZKDZ
- 会议名称：2016真空电子学分会第二十届学术年会
- 会议地点：中国福建厦门
- 主办单位：中国电子学会真空电子学分会、微波电真空器件国家级重点实验室
- 学会名称：中国电子学会真空电子学分会
- 页数：5
- 文件大小：813k
- 原文格式：D
- 会议级别：全国
摘要
小波变换具有多分辨分析的特性和良好的时频局部化分析能力,能够很好对行波管的非平稳信号进行分析。本文在硬、软、半软阈值法的基础上,提出一种针对行波管输出信号的改进的小波阈值降噪法,建立了行波管输出信号的小波阈值降噪的数学模型。对Heavy sine信号的仿真表明,改进后的阈值方法降噪后的信噪比和均方根误差均优于传统方法。对行波管实际测试信号降噪处理的结果表明,信噪比SNR由44.5461dB提高至50.1483dB,改进的阈值方法优于硬、软、半软阈值法,降低了小波系数偏差,使重构信号更加平滑,降噪效果更好。
引文
1.Chou,Chien-ming.A Threshold Based Wavelet Denoising Method for Hydrological Data Modelling[J].Water Resources Management,2011,25(7),1809-1830.
2.Saraniya O,Ezhilarasi M.Despeckling of medical ultrasound images by wavelet threshold optimization[J].International Journal of Biomedical Engineering and Technology,2013,15(1):1-17.
3.Ahmadi Kaveh,Javaid Ahmad Y,Salari Ezzatollah.An efficient compression scheme based on adaptive thresholding in wavelet domain using particle swarm optimization[J].Signal Processing:Image Communication.2015,32:33-39.
4.Luciano C M.Oleskovicz Mario,Ricardo A S.Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances[J].Applied Soft Computing Journal,2016,38,967-977.
5.Donoho D L,Johnstone I M.Ideal Spatial Adaption Via Wavelet Shrinkage[J].Biometrika,1994,81(12):425-455.
6.Donoho D L.De-noising by soft thresholding[J].IEEE Transactions on Information Theory,1995,41(3):613-627.
7.Gao Hong-Ye,Bruce A G.WaveShrink with Semisoft shrinkage[J],Statistica Sinica,1997,(7):855-874.
8.Qian Sumin,Zhang Linxu,Zhang Yun,Chang Dong.Study of de-nosing improved based on wavelet threshold[J].Foreign Electronic Measurement Technology,2012,31(5):49-51.
9.Yang K,Deng C X,Chen Y,Xu L X.The De-noising Method of Threshold Function Based on wavelet[C].Proc.of International Conference on Wavelet Analysis and Pattern Recognition(ICWAPR).Lanzhou:IEEE,2014.87-92
10.Qiming Zhao,Wenzhan Dai.A Wavelet De-noising Method of New Adjustable Threshold[J].Proc.of the 16th International Conference on Communication Technology(ICCT).Hangzhou:IEEE,2015.684-688.
11.Golroudbari,M A.Signal denoising based on wavelet transform using a multi-level threshold function[C].Proc.of the 7th Application of Information and Communication Technologies(AICT),Baku:IEEE,2013.23-25.
2.Saraniya O,Ezhilarasi M.Despeckling of medical ultrasound images by wavelet threshold optimization[J].International Journal of Biomedical Engineering and Technology,2013,15(1):1-17.
3.Ahmadi Kaveh,Javaid Ahmad Y,Salari Ezzatollah.An efficient compression scheme based on adaptive thresholding in wavelet domain using particle swarm optimization[J].Signal Processing:Image Communication.2015,32:33-39.
4.Luciano C M.Oleskovicz Mario,Ricardo A S.Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances[J].Applied Soft Computing Journal,2016,38,967-977.
5.Donoho D L,Johnstone I M.Ideal Spatial Adaption Via Wavelet Shrinkage[J].Biometrika,1994,81(12):425-455.
6.Donoho D L.De-noising by soft thresholding[J].IEEE Transactions on Information Theory,1995,41(3):613-627.
7.Gao Hong-Ye,Bruce A G.WaveShrink with Semisoft shrinkage[J],Statistica Sinica,1997,(7):855-874.
8.Qian Sumin,Zhang Linxu,Zhang Yun,Chang Dong.Study of de-nosing improved based on wavelet threshold[J].Foreign Electronic Measurement Technology,2012,31(5):49-51.
9.Yang K,Deng C X,Chen Y,Xu L X.The De-noising Method of Threshold Function Based on wavelet[C].Proc.of International Conference on Wavelet Analysis and Pattern Recognition(ICWAPR).Lanzhou:IEEE,2014.87-92
10.Qiming Zhao,Wenzhan Dai.A Wavelet De-noising Method of New Adjustable Threshold[J].Proc.of the 16th International Conference on Communication Technology(ICCT).Hangzhou:IEEE,2015.684-688.
11.Golroudbari,M A.Signal denoising based on wavelet transform using a multi-level threshold function[C].Proc.of the 7th Application of Information and Communication Technologies(AICT),Baku:IEEE,2013.23-25.