首页 | 本学科首页   官方微博 | 高级检索  
     检索      

薄膜宽带监控中光谱信号随机噪音处理的研究
引用本文:韩军,王松,尚小燕,安毓英.薄膜宽带监控中光谱信号随机噪音处理的研究[J].光子学报,2009,38(5):1202-1206.
作者姓名:韩军  王松  尚小燕  安毓英
作者单位:1. 西安电子科技大学,技术物理学院,西安,710071;西安工业大学,光电工程学院,西安,710032
2. 西安工业大学,光电工程学院,西安,710032
3. 西安电子科技大学,技术物理学院,西安,710071
基金项目:陕西省教育厅产业化培育项目(05JC23);西安市科技局信息技术专项项目(ZX05041)
摘    要:利用小波变换在时频域具有一定时间和频率多分辨率的特性,设计了小波阈值优化方法.根据信号与随机噪音在小波变换下各尺度不同的性质,同时减小拒真概率和虚报概率,在有效抑制随机噪音基础上,很好地保留了信号的细节成分.峰值误差为0.7%~1.0%,峰位误差为0.1%~0.3%.提高了光谱信号分析的准确性及系统的判停准确度.

关 键 词:薄膜监控  小波阈值优化  光谱信号处理  随机噪音
收稿时间:2008-10-07
修稿时间:2008-12-26

Spectrum Signal of Random Noise Processing in the Thin-film Wideband Monitoring System
HAN Jun,WANG Song,SHANG Xiao-yan,AN Yu-ying.Spectrum Signal of Random Noise Processing in the Thin-film Wideband Monitoring System[J].Acta Photonica Sinica,2009,38(5):1202-1206.
Authors:HAN Jun  WANG Song  SHANG Xiao-yan  AN Yu-ying
Institution:1 School of Technical Physics;Xidian University;Xi'an 710071;China;2 School of Photoelectric Engineering;Xi'an Technological University;Xi'an 710032;China
Abstract:Using the time and frequency multi-resolution properties of wavelet transform,adaptive threshold adjustment method was designed.According to the different characteristics of signal and the random noise processed by wavelet transform in different scales,both rejecting true probability and false declaration probability were reduced.On the basis of reserving signal detail,the random noise was suppressed effectively.All the details were retained well.Peak error is from 0.7% to 1.0%,and peak position error is from 0.1% to 0.3%.And the analysis accuracy of spectrum signal and the precision of systematic decision pause were improved.
Keywords:Thin film monitoring  Wavelet threshold-optimization  Spectral data processing  Random noise
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《光子学报》浏览原始摘要信息
点击此处可从《光子学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号