WT、EMD和ITD分析方法的对比研究
摘要
小波变换(WT)和经验模式分解(EMD)是当前有效处理非平稳信号的两种时频分析方法,另外ITD(Intrinsic Timescale Decomposition)方法也是一种较好的分析非平稳信号的方法,文章主要是通过仿真,分析这三种方法在时间上和分解效果上分解信号的区别,对比各自的优缺点,为非平稳信号的分解方法选择提供帮助。
引文
[1]李旋,周清峰等.经验模式分解与小波变换在模拟信号中的对比分析[J].地质学刊,2009,33(1):79-73
[2]钟晓平,荆建平,等.利用小波分析和EMD的机械故障特征提取[J].噪声与振动控制,2009(4):60-63
[3]孙增寿.基于小波分析的结构损伤监测研究进展[J].地震工程与工程振动,2005,25(2):93-99
[4]M.G.Frei,I.Osorio.Intrinsic time-scale decomposition:time-frequency-energy analysis and real-time filtering of non-stationary signals[J].Proceedings of the Royal Society,A,2007,463:321-342
[5]Kurtis Gurley,Ahsan Kareem.Application of wavelet transform in earthquake,wind and ocean[J].Engineering Structures,1999,21(3):149-167
[6]W.J.Wang.Application of orthogonal wavelets to early damage detection[J].Mechanical Systems and Signal Processing,1995,9(5):497-507
[7]N.E.Huang,.Z.Shen,S.R.Long,M.C.Wu,E.H.Shih,Q.Zheng,C.C.Tung and H.H.Liu.The empirical mode decomposition method and the Hilbert spectrum for non-stationary time series analysis.Proc.Roy.Soc.London,1998,(454A):903-995
[8]N.E.Huang,Z.Shen and R.S.Long.A new view of nonlinear water waves—the Hilbert spectrum.Ann.Rew.Fluid Mesh,1999,(31):417-457
[9]Z.H.Wu and N.E.Huang,“A study of the characteristics of white noise using the empirical mode decomposition method,”in Proceedings of the Royal Society of London,2004,460(2046):1597-1611
[2]钟晓平,荆建平,等.利用小波分析和EMD的机械故障特征提取[J].噪声与振动控制,2009(4):60-63
[3]孙增寿.基于小波分析的结构损伤监测研究进展[J].地震工程与工程振动,2005,25(2):93-99
[4]M.G.Frei,I.Osorio.Intrinsic time-scale decomposition:time-frequency-energy analysis and real-time filtering of non-stationary signals[J].Proceedings of the Royal Society,A,2007,463:321-342
[5]Kurtis Gurley,Ahsan Kareem.Application of wavelet transform in earthquake,wind and ocean[J].Engineering Structures,1999,21(3):149-167
[6]W.J.Wang.Application of orthogonal wavelets to early damage detection[J].Mechanical Systems and Signal Processing,1995,9(5):497-507
[7]N.E.Huang,.Z.Shen,S.R.Long,M.C.Wu,E.H.Shih,Q.Zheng,C.C.Tung and H.H.Liu.The empirical mode decomposition method and the Hilbert spectrum for non-stationary time series analysis.Proc.Roy.Soc.London,1998,(454A):903-995
[8]N.E.Huang,Z.Shen and R.S.Long.A new view of nonlinear water waves—the Hilbert spectrum.Ann.Rew.Fluid Mesh,1999,(31):417-457
[9]Z.H.Wu and N.E.Huang,“A study of the characteristics of white noise using the empirical mode decomposition method,”in Proceedings of the Royal Society of London,2004,460(2046):1597-1611
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