期刊文献+

基于相空间重构和独立分量分析的超声信号噪声消除 被引量:9

The Noise Cancellation for Ultrasonic Signals Using Reconstructed Phase Space and Independent Component Analysis
下载PDF
导出
摘要 提出了一种新的基于相空间重构和独立分量分析的超声信号去噪方法.应用该方法处理了实际的试块超声检测信号,并与小波去噪的效果进行了比较.实验结果表明,该去噪方法的效果与小波去噪方法接近,其特色是通过超声信号和噪声信号的盲源分离实现噪声消除.该去噪方法与小波去噪方法相比具有使用简单容易、去噪效果好和自适应强等优点. A new denoising method for ultrasonic nondestructive evaluation(NDE) signal based on reconstructed phase space(RPS) and independent component analysis(ICA) was proposed.To validate the proposed method it was applied to denoising ultrasonic signals of the test sample and was compared with the wavelet denoising method.The experimental results show that the denoising performance of the proposed method is very near to the wavelet denoising method.The trait of the proposed denoising method for ultrasonic NDE signals is that noise cancellation is realized by blind source separation of the ultrasonic signal and noise.Compared with the wavelet denoising method the proposed method is easier to use and possesses a good denoising effect and good adaptability.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2006年第10期1739-1742,共4页 Journal of Shanghai Jiaotong University
基金 国家高技术发展计划(863)资助项目(2001AA602021)
关键词 超声检测 无损评估 相空间重构 独立分量分析 ultrasonic testing(UT) nondestructive evaluation(NDE) reconstructed phase space(RPS) independent component analysis(ICA)
  • 相关文献

参考文献10

  • 1[1]Gustafsson M G,Stepinski T.Studies of split spectrum processing,optimal detection,and maximum likelihood amplitude estimation using a simple clutter model[J].Ultrasonics,1997,35(1):31-52.
  • 2[2]Drai R,Khelil M,Benchaala A.Time frequency and wavelet transform applied to selected problems in ultrasonics nde[J].NDT and E International,2002,35(8):567-579.
  • 3[3]Kim J,Udpa L,Udpa S.Multi-stage adaptive noise cancellation for ultrasonic nde[J].NDT and E International,2001,34(5):319-329.
  • 4[4]Izquierdo M A G,Hernandez M G,Graullera O,et al.Time-frequency wiener filtering for structural noise reduction[J].Ultrasonics,2002,40 (1-8):259-271.
  • 5[5]Takens F.Dynamical system and turbulence,lecture notes in mathematics[M].Berlin,Germany:Springer,1981.
  • 6[6]Sauer T,Yorke J A,Grotepass M.Embedology[J].J Statistical Physics,1991,65:579-561.
  • 7[7]Kantz H,Schreiber T.Nonlinear time series analysis[M].Cambridge:Cambridge Univ Press,1997.
  • 8[8]Hyvarinen A.Fixed-point algorithm and maximum likelihood estimation for independent component analysis[J].Neural Processing Letters,1999,10(1):1-8.
  • 9[9]SA V,AV S.The recurrent normalized range method for relevation of fractural structure and its application to analysis of EEG[J].Radioelectron Inform,1998,3:162-165.
  • 10[10]Zhu Y,Weight J P.Ultrasonic nondestructive evaluation of highly scattering materials using adaptive filtering and detection[J].IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control,1994,41(1):26-35.

同被引文献84

引证文献9

二级引证文献39

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