CAJ | 학술논문

为了在信号瞬时特征提取过程中有效降低噪声干扰影响，提出一种基于小波阈值降噪和经验模态分解（EMD）的信号瞬时特征提取方法。根据信号特征选择适合的小波阈值函数进行降噪处理，然后对降噪信号进行 EMD 分解，以互相关系数作为判别依据，保留含有信号瞬时特征的本征模函数（IMF），并进行 Hilbert 时频谱图和边际谱图分析，最终完成信号瞬时特征的提取。
위료재신호순시특정제취과정중유효강저조성간우영향，제출일충기우소파역치강조화경험모태분해（EMD）적신호순시특정제취방법。근거신호특정선택괄합적소파역치함수진행강조처리，연후대강조신호진행 EMD 분해，이호상관계수작위판별의거，보류함유신호순시특정적본정모함수（IMF），병진행 Hilbert 시빈보도화변제보도분석，최종완성신호순시특정적제취。
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.