机械与电子Issue(10)：12-16,5.
小波阈值降噪与经验模态分解在信号瞬时特征提取中的应用
Application of Wavelet Threshold De noising and EMD in Instantaneous Feature Extraction
摘要
Abstract
In order to reduce the impact caused by noise pollution upon the signal processing of instanta-neous feature extraction,a method combining wavelet threshold de noising and empirical mode decomposi-tion (EMD)to extract the instantaneous features of signals is proposed here.The method selects a suitable wavelet threshold which depends on the feature of signal to make pretreatment to the signal,and then the intrinsic mode functions (IMFs)of de noising signals are obtained with EMD.Basing on the cor-relation degrees,the real IMFs are extracted to an-alyze the Hilbert spectrum and the marginal spec-trum.Finally we complete the extraction of signals instantaneous feature.关键词
阈值去噪/经验模态分解/希尔伯特/黄变换/特征提取Key words
threshold de noising/EMD/HHT/feature extraction分类
信息技术与安全科学引用本文复制引用
崔心瀚,马立元,魏忠林,王天辉..小波阈值降噪与经验模态分解在信号瞬时特征提取中的应用[J].机械与电子,2014,(10):12-16,5.基金项目
军队通保科研基金资助项目 （）
