期刊文献+

一种改进的小波变换方法对喇曼光谱去噪

An Improved Algorithm of Raman Spectrum De-noising Based on Wavelet Transform
在线阅读 下载PDF
导出
摘要 根据喇曼散射信号比较弱的特点,应用一种改进的小波阈值去噪方法对喇曼光谱进行去噪处理。通过酒精的喇曼光谱为实验,该方法能够避免软硬阈值法的缺点,能够发挥小波去噪的优点,重构光谱图失真小,能很好地抑制噪声,又保留喇曼光谱的细节信号,改善小波去噪的效果。 Because Raman spectrum is feeblish, a improved algorithm of raman spectrum De-noising is presented in this paper.The improved method can avoid the disadvantage of the soft threshold or hard threshold. The experimental result shows that the method is superior to the method of soft threshold or hard threshold respectively. It can get rid of the noise and keep the detail of the Raman spectrum.
出处 《计算机与数字工程》 2007年第7期27-28,122,共3页 Computer & Digital Engineering
关键词 小波变换 小波去噪 喇曼光谱 wavelet transform,wavelet de-noisy,raman spectrum
  • 相关文献

参考文献4

  • 1田高友,袁洪福,刘慧颖,陆婉珍.小波变换用于近红外光谱数据压缩[J].分析测试学报,2005,24(1):17-20. 被引量:22
  • 2[3]Mallat S.A theory for multiresolution signal decomposition:the wavelet representation[J].IEEE Trans Pattern Anal and Machine Intell,1989,11(7):647~693.
  • 3[4]Donoho D L,Johnstone I M.Adapting to unknown smoothness via wavelet shrinkage[J].Journal of the American Statistical Association,1995,90:1200~1224.
  • 4[7]Donoho.D.L.De-noising by soft-thresholding[J].IEEE Transactions on Information Theory.1995,41(3):613~627

二级参考文献11

共引文献21

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部