山东大学学报（工学版）
山東大學學報（工學版）
산동대학학보（공학판）
JOURNAL OF SHANDONG UNIVERSITY(ENGINEERING SCIENCE)
2015年
3期
35-42
,共8页
经验模态分解%去噪%本征模函数%变尺度%低信噪比
經驗模態分解%去譟%本徵模函數%變呎度%低信譟比
경험모태분해%거조%본정모함수%변척도%저신조비
empirical mode decomposition%denoising%intrinsic mode function%variable metric%low SNR
为解决经典经验模态分解（empirical mode decomposition，EMD）滤波算法在低信噪比环境下滤波效果不佳的问题，提出了一种改进的EMD滤波算法。利用FFT对信号进行简单的频谱分析，若其中含有高频噪声，则对信号经EMD分解后得到的一阶本征模态函数（intrinsic mode function，IMF）分量做剔除处理；若信号中含有白噪声及毛刺干扰，则向经典EMD滤波算法中添加变尺度因子，然后对信号进行EMD滤波，在算法最后一次迭代时再将一阶IMF剔除。仿真试验结果表明，改进的EMD滤波算法在低信噪比环境下有较小的均方误差值，滤波效果较好。
為解決經典經驗模態分解（empirical mode decomposition，EMD）濾波算法在低信譟比環境下濾波效果不佳的問題，提齣瞭一種改進的EMD濾波算法。利用FFT對信號進行簡單的頻譜分析，若其中含有高頻譟聲，則對信號經EMD分解後得到的一階本徵模態函數（intrinsic mode function，IMF）分量做剔除處理；若信號中含有白譟聲及毛刺榦擾，則嚮經典EMD濾波算法中添加變呎度因子，然後對信號進行EMD濾波，在算法最後一次迭代時再將一階IMF剔除。倣真試驗結果錶明，改進的EMD濾波算法在低信譟比環境下有較小的均方誤差值，濾波效果較好。
위해결경전경험모태분해（empirical mode decomposition，EMD）려파산법재저신조비배경하려파효과불가적문제，제출료일충개진적EMD려파산법。이용FFT대신호진행간단적빈보분석，약기중함유고빈조성，칙대신호경EMD분해후득도적일계본정모태함수（intrinsic mode function，IMF）분량주척제처리；약신호중함유백조성급모자간우，칙향경전EMD려파산법중첨가변척도인자，연후대신호진행EMD려파，재산법최후일차질대시재장일계IMF척제。방진시험결과표명，개진적EMD려파산법재저신조비배경하유교소적균방오차치，려파효과교호。
To solve the problem that the filtering effect of classical Empirical Mode Decomposition (EMD)algorithm wasn′t good in a low SNR environment,an improved EMD filtering algorithm was proposed.Signal spectrum was ana-lyzed with FFT,if there was high-frequency noise in the signal,the first Intrinsic Mode Function (IMF)which was ob-tained by EMD algorithm was removed.And if there was white-noise or glitch in the signal,a variable factor was added to the classical EMD algorithm then filtered the signal using EMD,and the first IMF was removed at the last iteration of the algorithm.The simulation experimental results showed that the Mean Square Error (MSE)of the improved EMD al-gorithm was small and the filtering effect was good in the low SNR environment.
