登录
首页 » matlab » EWT

EWT

于 2020-12-31 发布 文件大小:1836KB
0 395
下载积分: 1 下载次数: 46
我要下载

代码说明：

  经验小波变换，将信号分解为多个子特征的子序列。性能较EMD、EEMD、WD等有所提升。(Empirical wavelet transform decomposes the signal into sub sequences of multiple sub features. The performance is improved compared with EMD, EEMD, WD and so on.)

文件列表：

EWT\1D\EWT1D.m, 2825 , 2016-12-01
EWT\1D\EWT_beta.m, 162 , 2016-12-01
EWT\1D\EWT_InstantaneousComponents.m, 1732 , 2016-12-01
EWT\1D\EWT_Meyer_FilterBank.m, 1474 , 2016-12-01
EWT\1D\EWT_Meyer_Scaling.m, 920 , 2016-12-01
EWT\1D\EWT_Meyer_Wavelet.m, 1325 , 2016-12-01
EWT\1D\EWT_Single_filter.m, 93 , 2016-12-01
EWT\1D\iEWT1D.m, 841 , 2016-12-01
EWT\1D\IFcleaning.m, 1628 , 2016-12-01
EWT\1D\Modes_EWT1D.m, 749 , 2016-12-01
EWT\2D\Curvelet\AnglesLocalMax.m, 1442 , 2016-12-01
EWT\2D\Curvelet\AnglesLocalMaxMin.m, 2182 , 2016-12-01
EWT\2D\Curvelet\Angular_sector.m, 8620 , 2016-12-01
EWT\2D\Curvelet\CreateAngleGrid.m, 1288 , 2016-12-01
EWT\2D\Curvelet\EWT2D_Curvelet.m, 8376 , 2016-12-01
EWT\2D\Curvelet\EWT2D_Curvelet_FilterBank.m, 7085 , 2016-12-01
EWT\2D\Curvelet\EWT2D_Curvelet_Scaling.m, 971 , 2016-12-01
EWT\2D\Curvelet\EWT_Angles_Detect.m, 2674 , 2016-12-01
EWT\2D\Curvelet\iEWT2D_Curvelet.m, 856 , 2016-12-01
EWT\2D\Littlewood-Paley\EWT2D_LittlewoodPaley.m, 3226 , 2016-12-01
EWT\2D\Littlewood-Paley\EWT2D_Meyer_FilterBank.m, 1529 , 2016-12-01
EWT\2D\Littlewood-Paley\EWT2D_Meyer_Scaling.m, 1011 , 2016-12-01
EWT\2D\Littlewood-Paley\EWT2D_Meyer_Wavelet.m, 1410 , 2016-12-01
EWT\2D\Littlewood-Paley\EWT2D_UP_Meyer_Wavelet.m, 1175 , 2016-12-01
EWT\2D\Littlewood-Paley\iEWT2D_LittlewoodPaley.m, 1144 , 2016-12-01
EWT\2D\Ridgelet\EWT2D_Ridgelet.m, 2887 , 2016-12-01
EWT\2D\Ridgelet\iEWT2D_Ridgelet.m, 1006 , 2016-12-01
EWT\2D\Tensor\EWT2D_Tensor.m, 3970 , 2016-12-01
EWT\2D\Tensor\iEWT2D_Tensor.m, 1591 , 2016-12-01
EWT\Boundaries\Adaptive_Bounds_Adapt.m, 1629 , 2016-12-01
EWT\Boundaries\EpsNeighLocalMaxMin.m, 2009 , 2016-12-01
EWT\Boundaries\EWT_Boundaries_Completion.m, 835 , 2016-12-01
EWT\Boundaries\EWT_Boundaries_Detect.m, 4904 , 2016-12-01
EWT\Boundaries\LocalMaxima\LocalMax.m, 1223 , 2016-12-01
EWT\Boundaries\LocalMaxima\LocalMaxMin.m, 2113 , 2016-12-01
EWT\Boundaries\LocalMaxima\LocalMaxMin2.m, 2653 , 2016-12-01
EWT\Boundaries\MorphoMath\FunctionClosing.m, 646 , 2016-12-01
EWT\Boundaries\MorphoMath\FunctionDilation.m, 766 , 2016-12-01
EWT\Boundaries\MorphoMath\FunctionErosion.m, 762 , 2016-12-01
EWT\Boundaries\MorphoMath\FunctionGranulometry.m, 590 , 2016-12-01
EWT\Boundaries\MorphoMath\FunctionOpening.m, 645 , 2016-12-01
EWT\Boundaries\MorphoMath\FunctionTopHat.m, 625 , 2016-12-01
EWT\Boundaries\PowerLaw\Powerlaw_Estimator.m, 712 , 2016-12-01
EWT\Boundaries\RemoveTrend.m, 3982 , 2016-12-01
EWT\Boundaries\ScaleSpace\EmpiricalLaw.m, 1020 , 2016-12-01
EWT\Boundaries\ScaleSpace\GSS_BoundariesDetect.m, 881 , 2016-12-01
EWT\Boundaries\ScaleSpace\HalfNormalLaw.m, 1080 , 2016-12-01
EWT\Boundaries\ScaleSpace\kmeansDetect.m, 1215 , 2016-12-01
EWT\Boundaries\ScaleSpace\LengthScaleCurve.m, 3406 , 2016-12-01
EWT\Boundaries\ScaleSpace\maxcheckplateau.m, 407 , 2016-12-01
EWT\Boundaries\ScaleSpace\MeaningfulScaleSpace.m, 1280 , 2016-12-01
EWT\Boundaries\ScaleSpace\MeanTh.m, 867 , 2016-12-01
EWT\Boundaries\ScaleSpace\OtsuMethod.m, 1270 , 2016-12-01
EWT\Boundaries\ScaleSpace\PlanGaussianScaleSpace.m, 1286 , 2016-12-01
EWT\Boundaries\ScaleSpace\RemoveMerge.m, 4037 , 2016-12-01
EWT\Boundaries\SpectrumRegularize.m, 1422 , 2016-12-01
EWT\Documention\EWT_Toolbox.pdf, 188290 , 2016-12-01
EWT\README.txt, 5033 , 2016-12-01
EWT\Tests\1D\applePrice.mat, 2365 , 2018-04-24
EWT\Tests\1D\applePriceClose.mat, 613 , 2018-05-13
EWT\Tests\1D\dataMarketClose.mat, 13990 , 2018-05-06
EWT\Tests\1D\disp_hhs2.m, 2165 , 2016-12-01
EWT\Tests\1D\Disp_HHT.m, 244 , 2016-12-01
EWT\Tests\1D\eeg.mat, 8648 , 2016-12-01
EWT\Tests\1D\EWT1D.m, 2825 , 2016-12-01
EWT\Tests\1D\Heeg.mat, 11442 , 2016-12-01
EWT\Tests\1D\Htexture.mat, 1220 , 2016-12-01
EWT\Tests\1D\imf_ewt_apple_close.mat, 7280 , 2018-05-13
EWT\Tests\1D\seismic.mat, 52273 , 2016-12-01
EWT\Tests\1D\sig1.mat, 33972 , 2016-12-01
EWT\Tests\1D\sig2.mat, 49617 , 2016-12-01
EWT\Tests\1D\sig3.mat, 47849 , 2016-12-01
EWT\Tests\1D\sig4.mat, 110288 , 2016-12-01
EWT\Tests\1D\sp2000_20180323.mat, 242500 , 2018-05-06
EWT\Tests\1D\susan.m, 713 , 2016-12-01
EWT\Tests\1D\Test_EWT1D.m, 4223 , 2018-07-16
EWT\Tests\1D\Test_FTCBoundaries.m, 2718 , 2018-05-05
EWT\Tests\1D\texture.mat, 360725 , 2016-12-01
EWT\Tests\2D\barb.mat, 235601 , 2016-12-01
EWT\Tests\2D\lena.mat, 96607 , 2016-12-01
EWT\Tests\2D\Save_EWT2D_Curvelet.m, 938 , 2016-12-01
EWT\Tests\2D\Save_EWT2D_LP.m, 1032 , 2016-12-01
EWT\Tests\2D\Save_EWT2D_Tensor.m, 1062 , 2016-12-01
EWT\Tests\2D\Test_EWT2D_Curvelet.m, 2601 , 2016-12-01
EWT\Tests\2D\Test_EWT2D_LP.m, 1976 , 2016-12-01
EWT\Tests\2D\Test_EWT2D_Ridgelet.m, 1856 , 2016-12-01
EWT\Tests\2D\Test_EWT2D_Tensor.m, 1917 , 2018-05-05
EWT\Tests\2D\texture.mat, 360725 , 2016-12-01
EWT\Utilities\1D\EWT_TF_Plan.m, 3331 , 2016-12-01
EWT\Utilities\1D\Show_EWT.m, 1158 , 2016-12-01
EWT\Utilities\1D\Show_EWT_Boundaries.m, 2432 , 2016-12-01
EWT\Utilities\2D\drawArcEllipse.m, 338 , 2016-12-01
EWT\Utilities\2D\drawCircle.m, 179 , 2016-12-01
EWT\Utilities\2D\drawEllipse.m, 182 , 2016-12-01
EWT\Utilities\2D\LP_boundaries.m, 788 , 2016-12-01
EWT\Utilities\2D\ShowCurveletFilters.m, 792 , 2016-12-01
EWT\Utilities\2D\Show_Curvelets_boundaries.m, 6257 , 2016-12-01
EWT\Utilities\2D\Show_EWT2D.m, 513 , 2016-12-01
EWT\Utilities\2D\Show_EWT2D_Curvelet.m, 1094 , 2016-12-01
EWT\Utilities\2D\Show_EWT2D_Filters.m, 583 , 2016-12-01

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • Labview characters to an array of procedures, engage in a long time to get and
    Labview的字符转数组的程序，搞了好久才搞定的，-Labview characters to an array of procedures, engage in a long time to get and
    2022-02-27 05:06:33下载
    积分：1
  • 实验9 PWM输出实验
    this is a very useful document, which tells how to produce pwm based on stm32
    2018-05-24 18:54:30下载
    积分：1
  • 利用反步法
    说明：  利用反步法完成多机器人轨迹跟踪，并在MATLAB平台完成仿真(Trajectory Tracking of Multi-Robot Using Backstepping Method)
    2019-06-25 11:12:13下载
    积分：1
  • 本程序为检测16路输入45~65HZ的信号，并按每路状态输出各自想应路信号...
    本程序为检测16路输入45~65HZ的信号，并按每路状态输出各自想应路信号-This procedure for the detection of 16 of 45 ~ 65HZ input signal, and the way each state would like to output their signals should be
    2022-03-19 22:21:08下载
    积分：1
  • Surveying-Adjustment-Program-Design
    《测量平差程序设计》（宋力杰编著）一书的源码(" Surveying Adjustment Program Design" (Song Lijie eds) source)
    2013-07-23 23:28:23下载
    积分：1
  • 本来想实现一个规则图形内的颜色渐变填充...但由于一些原因,只完成了颜色填充,不过修改其变量可以改变填充颜色....
    本来想实现一个规则图形内的颜色渐变填充...但由于一些原因,只完成了颜色填充,不过修改其变量可以改变填充颜色.-Originally wanted to realize the rules of graphics within a gradient fill color ... but for some reason, only the color-filled, but to modify its variables can change the fill color.
    2022-01-24 14:08:54下载
    积分：1
  • ImageToPDForXPS
    image to xps driver for windows
    2017-10-13 13:00:55下载
    积分：1
  • emif2axi_v1_00_a
    emif接口转axi接口，在多个项目中使用，功能完善(EMIF interface to Axi interface, used in many projects, perfect function)
    2020-12-01 15:29:26下载
    积分：1
  • 计算机组成原理试题13，提供给在校学生，或者考研需要者，希望能提供一些帮助...
    计算机组成原理试题13，提供给在校学生，或者考研需要者，希望能提供一些帮助-Principles of Computer Organization Test 13, made available to students at school, or study section for those who need it, hoping to provide some help
    2022-05-21 16:27:52下载
    积分：1
  • did
    双重差分估计 双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)
    2020-07-03 20:00:01下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！