经验小波变换结合EMD的自适应性和小波分析的理论框架我要分享

Empirical wavelet transform combines the adaptability of EMD with the theoretical framework of wavel

EWT EMD EWT变换 fourier谱方法 自适应emd

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代码分类: 仿真计算

开发平台: matlab

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代码描述

中文说明:

经验小波变换结合EMD的自适应性和小波分析的理论框架,Gilles提出了一种称为经验小波变换(EWT)的自适应信号处理方法.其核心思想是通过对信号的Fourier谱进行自适应划分,建立合适的小波滤波器组来提取信号不同的AM-FM成分。


English Description:

Empirical wavelet transform (EWT) combines the adaptability of EMD with the theoretical framework of wavelet analysis. Gilles proposes an adaptive signal processing method called empirical wavelet transform (EWT). Its core idea is to adaptively divide the Fourier spectrum of the signal and establish an appropriate wavelet filter group to extract different AM-FM components of the signal


代码预览

EWT

...\1D

...\..\EWT1D.m

...\..\EWT_beta.m

...\..\EWT_InstantaneousComponents.m

...\..\EWT_Meyer_FilterBank.m

...\..\EWT_Meyer_Scaling.m

...\..\EWT_Meyer_Wavelet.m

...\..\EWT_Single_filter.m

...\..\iEWT1D.m

...\..\IFcleaning.m

...\..\Modes_EWT1D.m

...\2D

...\..\Curvelet

...\..\........\AnglesLocalMax.m

...\..\........\AnglesLocalMaxMin.m

...\..\........\Angular_sector.m

...\..\........\CreateAngleGrid.m

...\..\........\EWT2D_Curvelet.m

...\..\........\EWT2D_Curvelet_FilterBank.m

...\..\........\EWT2D_Curvelet_Scaling.m

...\..\........\EWT_Angles_Detect.m

...\..\........\iEWT2D_Curvelet.m

...\..\Littlewood-Paley

...\..\................\EWT2D_LittlewoodPaley.m

...\..\................\EWT2D_Meyer_FilterBank.m

...\..\................\EWT2D_Meyer_Scaling.m

...\..\................\EWT2D_Meyer_Wavelet.m

...\..\................\EWT2D_UP_Meyer_Wavelet.m

...\..\................\iEWT2D_LittlewoodPaley.m

...\..\Ridgelet

...\..\........\EWT2D_Ridgelet.m

...\..\........\iEWT2D_Ridgelet.m

...\..\Tensor

...\..\......\EWT2D_Tensor.m

...\..\......\iEWT2D_Tensor.m

...\Boundaries

...\..........\Adaptive_Bounds_Adapt.m

...\..........\EpsNeighLocalMaxMin.m

...\..........\EWT_Boundaries_Completion.m

...\..........\EWT_Boundaries_Detect.m

...\..........\LocalMaxima

...\..........\...........\LocalMax.m

...\..........\...........\LocalMaxMin.m

...\..........\...........\LocalMaxMin2.m

...\..........\MorphoMath

...\..........\..........\FunctionClosing.m

...\..........\..........\FunctionDilation.m

...\..........\..........\FunctionErosion.m

...\..........\..........\FunctionGranulometry.m

...\..........\..........\FunctionOpening.m

...\..........\..........\FunctionTopHat.m

...\..........\PowerLaw

...\..........\........\Powerlaw_Estimator.m

...\..........\RemoveTrend.m

...\..........\ScaleSpace

...\..........\..........\EmpiricalLaw.m

...\..........\..........\GSS_BoundariesDetect.m

...\..........\..........\HalfNormalLaw.m

...\..........\..........\kmeansDetect.m

...\..........\..........\LengthScaleCurve.m

...\..........\..........\MeaningfulScaleSpace.m

...\..........\..........\MeanTh.m

...\..........\..........\OtsuMethod.m

...\..........\..........\PlanGaussianScaleSpace.m

...\..........\..........\RemoveMerge.m

...\..........\SpectrumRegularize.m

...\Documention

...\...........\EWT_Toolbox.pdf

...\README.txt

...\Tests

...\.....\1D

...\.....\..\disp_hhs2.m

...\.....\..\Disp_HHT.m

...\.....\..\eeg.mat

...\.....\..\seismic.mat

...\.....\..\sig1.mat

...\.....\..\sig2.mat

...\.....\..\sig3.mat

...\.....\..\sig4.mat

...\.....\..\Test_EWT1D.m

...\.....\..\Test_FTCBoundaries.m

...\.....\..\texture.mat

...\.....\2D

...\.....\..\barb.mat

...\.....\..\lena.mat

...\.....\..\Save_EWT2D_Curvelet.m

...\.....\..\Save_EWT2D_LP.m

...\.....\..\Save_EWT2D_Tensor.m

...\.....\..\Test_EWT2D_Curvelet.m

...\.....\..\Test_EWT2D_Curvelet.m~

...\.....\..\Test_EWT2D_LP.m

...\.....\..\Test_EWT2D_Ridgelet.m

...\.....\..\Test_EWT2D_Tensor.m

...\.....\..\texture.mat

...\Utilities

...\.........\1D

...\.........\..\EWT_TF_Plan.m

...\.........\..\Show_EWT.m

...\.........\..\Show_EWT_Boundaries.m