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.
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 HiIbert 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.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2007年第5期33-36,共4页
Journal of Beijing University of Posts and Telecommunications
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
empirical mode decomposition
independent component analysis
white noise
virtual noise channel
denoising
