搜索资源列表
hht
- hht变换，hht变换是利用经验模态来进行分解，从而进行信号分析。-HHT transform, hht transform is the use of empirical mode decomposition to carry out in order to carry out signal analysis.
求IMF序列与原始序列的互相关系数
- 混沌信号经过EMD分解，得到的IMF序列，求每个IMF序列与原始序列的互相关系数(The chaotic signal is decomposed by EMD to obtain the IMF sequence, and the cross-correlation coefficients between each IMF sequence and the original sequence are calculated)
EMD_EEMD_VMD
- 可用于信号的EMD、EEMD、VMD分解，里面都加了自己的注释，通俗易懂(It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand)
package_emd
- 将一个复杂的信号分解成如干个简单的信号，极大的方便了对信号的分析与求解。(A complex signal is decomposed into simple signals, which makes it convenient to analyze and solve the signal.)
VMD.tar
- 将一个信号分解为几个模态分量，并且不会产生模态混叠现象，对信号的分解很清晰，大量应用于故障诊断。(A signal is decomposed into several modal components, and it does not cause modal aliasing. The decomposition of signals is very clear and widely used in fault diagnosis.)
EEMD
- 对原来的EMD进行了改进，使得对信号的分解更为完美，极大的抑制了端点效应和模态混叠现象。(The improvement of the original EMD makes the signal decomposition more perfect and greatly suppresses the endpoint effect and modal aliasing.)
emd分解
- 使用EMD对采集数据进行数据模态分解，得到各个分量信号(Use EMD to cEMD data)
59804063pinlvguji
- 经验模态分解，matlab实现，用于信号的降噪处理，提取特征值处理等经验模态分解，这是用汉语注释的EMD程序，很不错的。％ 语法 ％ IMF = EMD(X) ％ IMF = EMD(X,..., Option_name ,Option_value,...) ％ IMF = EMD(X,OPTS) ％ [IMF,ORT,NB_ITERATIONS] = EMD(...) (This is annotated in Chinese EM
emd
- 该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数（Intrinsic Mode Function，简称IMF），所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。经验模态分解法能使非平稳数据进行平稳化处理，然后进行希尔伯特变换获得时频谱图，得到有物理意义的频率。与短时傅立叶变换、小波分解等方法相比，这种方法是直观的、直接的、后验的和自适应的，因为基函数是由数据本身所分解得到。由于分解是基于信号序列时间尺度
G Rilling
- 这是一个使用EMD分解出IMF的例子，一个试验信号由一个tone信号，一个chirp信号，叠加得到，目的是使用EMD将这两个信号分离，得到的预期结果应该是chirp信号在高阶，tone信号在低阶，（原因是chirp信号在各个局部的频率都比tone信号高）。(This is an example of using EMD to decompose the IMF. A test signal consists of a tone sign
EMD with adaptive noise
- 以适应噪音为模型的经验模式分解，添加了一个特殊的噪声分解，获得每个阶段的模式。由此产生的分解完全可以忽略不计的误差。(Ensemble Empirical Mode decomposition with adaptive noise)
变分模态分解
- 关于VMD的一篇博士论文，其中比较了EMD和LMD以及VMD的分解效果，证明VMD分解有较好的效果。(A doctoral thesis on VMD, which compares the decomposition effects of EMD, LMD and VMD, proves that VMD decomposition has a good effect.)
EMD
- 对数据进行emd分解，可以自适应得到对应的模态分量(Emd decomposition of the data can be adaptive to get the corresponding modal components)
轴承故障
- 轴承故障诊断，用于分析轴承外圈故障的经验模态分解(Bearing fault diagnosis)
EEMD
- 该算法可自适应地将信号分解成若干单分量信号(The algorithm can adaptively decompose the signal into several single component signals.)
LMD程序
- 在传统基础上改进的LMD分解程序，根据分解原理编写程序，有些许漏洞。(Based on the traditional LMD decomposition program, the program is written according to the decomposition principle.)
VMD
- 信号处理中的一种新方法，具有分量分解提取功能(A new method in signal processing, which has the function of component decomposition and extraction.)
bemd
- 二维EMD程序，这是利用最新的插值函数，个比较经典的二维经验模式分解程序代码，适用于图像的特征提取和分解((A two-dimensional EMD algorithm, the author is Anna Linderhed, her Ph.D. research topic is bidimensional EMD and wavelet transform))
BEMD
- 二维经验模态分解(BEMD)是近年来新兴的一种适用于非线性、非平稳数据的自适应数据(Two-dimensional empirical mode decomposition (BEMD) is a newly developed adaptive data for non-linear and non-stationary data in recent years.)
emd
- 用于 EMD 经验模态分解计算及希尔伯特变换(For empirical mode decomposition and the Hilbert spectrum calculation)