北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2007, Vol. 30 ›› Issue (5): 33-36.doi: 10.13190/jbupt.200705.33.lih

• 论文 • 上一篇    下一篇

基于EMD虚拟通道的ICA算法在信号消噪中的应用

李洪;孙云莲   

  1. (武汉大学 电气工程学院, 武汉 430072)
  • 收稿日期:2006-11-06 修回日期:2007-04-16 出版日期:2007-10-30 发布日期:2007-10-30
  • 通讯作者: 李洪

DENOISING By ICA Based on EMD Virtual Channel

LI Hong SUN Yun-lian   

  1. (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)
  • Received:2006-11-06 Revised:2007-04-16 Online:2007-10-30 Published:2007-10-30
  • Contact: LI Hong

摘要:

提出了一种由经验模态分解构造虚拟噪声通道,结合独立分量分析进行信号消噪的方法. 在分析经验模态分解及独立分量分析的优越性基础上,阐述了构造虚拟噪声通道的基本原理,给出了具体构造方法. 用固有模态函数的Hilbert时频谱作为虚拟噪声通道重构分量选择的依据. 仿真计算表明,该方法对白噪声的消除是有效的,消噪效果较为理想. 与传统小波方法比较,具有优势.

关键词: 经验模态分解, 独立分量分析, 白噪声, 虚拟噪声通道, 去噪

Abstract:

A method integrated by independent component analysis(ICA) and empirical mode decomposition (EMD) is proposed, which can eliminate the white noise from different signals. The superiority of ICA and EMD is expatiated emphatically. The basic theory and the detailed courses of construction of virtual noise channel used EMD are described. Based on time-frequency spectral characteristic of white noise, the principle of select intrinsic mode function(IMF), used the Hilbert time-frequency spectra,is proposed to reconstruct virtual noise channel. The simulations indicate that the denoising performance is effective. Compared with the denoising performance, this method is better than traditional wavelet method.

Key words: Empirical Mode Decomposition, Independent component analysis, White Noise, Virtual Noise Channel, Denoising

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