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emdinmatlab
- 摘要:经验模态分解方法(EMD )在非平稳信号的分析和处理中起着重要的作用 ,为了能够方便的使用EMD方法对信号进行处理 ,现labVIEW 虚拟仪器开发平台良好的用户图形界面和TLAB 软件强大的数值分析功能相结合 ,利用 Lab V IEW调用 MATLAB实现EMD信号处理方法.仿真结果表明对信号进行EMD分解后,使得瞬时频率具有了物理意义,但只是对信号进行了初步处理 ,可根据实际需要进行相应后续处理 。-Abstract: The empirical mode decomposition
emdfenjie
- 对采集到的振动信号进行EMD分解,得到一系列频率不同的经验模态函数IMF分量,可以用来滤波和提取原信号的特征。-The collected vibration signals of EMD, get a series of different frequency components of IMF empirical mode function can be used to filter and extract features of the original signal.
High_orderandEMD
- High_orderandEMD.rar包函数了高阶累计量的所所以求法,EMD经验模态分量等算法,是用来分析非平稳随变量信号的最常用的好方法,在此献给信号处理的研究者们。-High_orderandEMD.rar package cumulative amount of higher-order functions are therefore seeking method, EMD empirical mode component of the algorithm is a good metho
eemd
- 本代码是eemd的原始代码,关于emd的注释已经很多,eemd无非是多次emd取平均,需要的自己拿去-This code is eemd original code has a lot of comments about emd, eemd is nothing more than taking multiple emd average, take their own needs
boundary_conditions_averextr
- boundary_conditions_isbm emd等模态分解用的边界条件处理-boundary_conditions_isbm : boundary conditions for handling emd..mode destruction
boundary_conditions_charalen
- boundary_conditions : boundary conditions for handling emd..mode destruction-boundary_condition : boundary conditions for handling emd..mode destruction
EMD_TOOLBOX-pack_emd
- emd tool,由著名的patrick flandrin编译-emd tool, patrick flandrin compilation
HHT2
- Hilbert变换只是单纯地求信号的瞬时振幅,频率和相位,有可能出现没有意义的负频率;HHT变换先将信号进行EMD分解,得到的是各个不同尺度的分量,对每一个分量进行Hilbert变换后得到的是有实际意义的瞬时频率。 -imagesc(t,fliplr((1:size(im,1))/(2*size(im,1))),im,[inf,0]) set(gca, YDir , normal ) xlabel([ time ]) ylabel([ normalized f
Similarity
- 研究两幅图像匹配相似度衡量的方法,利用直方图的相关知识,采用相关,卡方,直方图相交,Bhattacharyyahe和EMD方法实现对两幅图像的相似度衡量。-Study two images matching similarity measure method, using the histogram of the relevant knowledge, using relevant, chi-square, histogram intersection, Bhattacharyyahe and
eemd
- 该程序主要完成了EMD算法的实现,并附有例子程序进行测试,有助于初学者了解该算法-The program is mainly done to realize EMD algorithm, together with examples of procedures for testing, to help beginners understand the algorithm
EMDs
- 对信号进行emd处理,分解得到若干固有模态函数-Emd the signal processing, decomposition of certain intrinsic mode functions
prediction-methods-for-hydrology
- 径流预报常用的几种模型:AR模型,BP模型,RBF模型,GM(1,N)模型;预报数据预处理方法:自相关函数以及偏自相关函数确定法;EMD方法-Several commonly used runoff forecasting model: AR model, BP model, RBF model, GM (1, N) model forecast data preprocessing methods: autocorrelation function and partial autocorre
package_emd
- EMD对图像进行处理,与传统的小波去噪进行比较具有明显优势-EMD for image processing, and compares traditional wavelet de-noising has obvious advantages
81278654emdppt
- emd分解运用PPT进行展示,便于初学者能够更加容易理解其过程-PPT presentation using EMD decomposition process, easy for beginners to understand the process
Grilling_EMD
- 对Grilling版的EMD程序进行注释-EMD program for Grilling annotated edition
VMD
- 变模式分解(Variational Mode Decomposition),实现非线性、非平稳信号处理,解决经验模式分解(emd)缺陷,包含代码和对应的文章-Variational Mode Decomposition,non-station, non-linear signal processing, decompose a signal into different modes,improved emd method. include code and its corresponding p
emdtoolbox
- 很好用的emd工具箱,适合初学者使用,可以在此基础上修改算法,得到自己想要的程序-Good use of emd toolbox for beginners
3MATLABYUYIN
- 3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.
bianjipu
- emd分解后希尔伯特变换,边际谱,可直接调用产生边际谱-After emd decomposition Hilbert transform marginal spectrum can be called directly produce marginal spectrum
qiuimf
- 安装过emd工具的,可直接求各imf分量的瞬时频率,包络频谱-Emd tools installed, you can find a direct component of the instantaneous frequency of each imf, the envelope spectrum