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Description: 最新的HHT时频分析程序By Huang and Wu-HHT program By Huang and Wu
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Size: 34816 |
Author: 王哲 |
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Description: The program uses Matlab to achieve hilbert-huang transform, including EMD, HHT
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Size: 36864 |
Author: yupynsun |
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Description: 做经验模式分解，数据挖掘，频域分析，希尔伯特分析等-Do empirical mode decomposition, data mining, frequency domain analysis, Hilbert
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Size: 193536 |
Author: pingping |
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Description: 实现emd在慢、matalb上的运行
真的很好啊-emd is very good
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Size: 198656 |
Author: limingran |
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Description: MTA: SA Script LUA
Runcode Ressource
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Size: 41984 |
Author: max |
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Description: 黄锷院士的EMD/EEMD程序，可实现EMD/EEMD 计算-Wong Ngok academicians EMD/EEMD procedure can achieve EMD/EEMD calculation
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Size: 196608 |
Author: 范飞 |
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Description: 很好的代码学习工具，运行时代码修改工具,有能力还是值得学习的-Good code learning tool, runtime code modification tools, the ability is still worth learning
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Size: 16096256 |
Author: hf |
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Description: HHT就是Hilbert-Huang Transform（希尔伯特黄变换），美国航天航空局黄鳄教授发明的，大概的过程是：先对信号进行经验模态分解（Empirical mode decomposition －EMD），得出本征模态函数（IMF intrinsic mode function），再对本征模态函数进行希尔伯特变换-HHT is the Hilbert-Huang Transform (Hilbert-Huang Transform), NASA Professor Huang E invention, probably in the process is: first the signal empirical mode decomposition (Empirical mode decomposition-EMD), drawn intrinsic mode function (IMF intrinsic mode function), and then the intrinsic mode function Hilbert transform
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Size: 187392 |
Author: zhangyuan |
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Description: 让文本框支持代码运行的功能，本款工具可在线运行HTML/CSS/Javascript代码，你可以将你的HTML/CSS/Javascript代码复制到输入框中，点击“运行”按钮即可查看预览代码运行结果。可作为一个Js及HTML、css的辅助调试工具，在很多文章类的网站中，你都可以看到这款支持代码的功能。-Let the text box functionality to support code running in this paragraph tool can be run online HTML/CSS/Javascript code, you can copy your HTML/CSS/Javascript code into the input box, click on the Run button to view the preview code to run the results. Can be used as a Js and HTML, css assisted debugging tools, in many sites like the article, you can see this support code functions.
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Size: 6144 |
Author: epudn35 |
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Description: A new method for analysing nonlinear and non-stationary data has been developed.
The key part of the method is the `empirical mode decomposition method
with which any complicated data set can be decomposed into a nite and often
small number of `intrinsic mode functions that admit well-behaved Hilbert transforms.
This decomposition method is adaptive, and, therefore, highly ecient.-A new method for analysing nonlinear and non-stationary data has been developed.
The key part of the method is the `empirical mode decomposition method
with which any complicated data set can be decomposed into a nite and often
small number of `intrinsic mode functions that admit well-behaved Hilbert transforms.
This decomposition method is adaptive, and, therefore, highly ecient.
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Size: 190464 |
Author: cyc |
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Description: 希尔伯特黄变换的MATLAB代码，进行EMD和希尔伯特变换进行时频分析-HHT Matlab runcode
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Size: 200704 |
Author: 张 |
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Description: 包含matlab runcode时频分析函数,给出了eemdtest plot函数.-Contains matlab runcode time-frequency analysis function, gives the eemdtest plot function,
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Size: 34816 |
Author: phx |
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Description: 经验模式分解算法，能分解得到各个固有模态函数以及进行希尔伯特谱的绘制-This EEMD method can decompose series imfs and plot the HHT spectrum
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Size: 230400 |
Author: yaofao |
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Description: 经验模态分解，集合经验模态分解，希尔伯特分解，MATLAB 工具包(Empirical mode decomposition,EEMD, Hilbert decomposition, MATLAB Toolkit)
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Size: 198656 |
Author: Kaiser001
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Description: 在matlab中HHT的应用,非常非常非常非常棒(In MATLAB, the application of HHT is very, very, very, very good)
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Size: 186368 |
Author: 东方饭店
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Description: eemd信号分解，分解成多个固有经验函数(The EEMD signal is decomposed and decomposed into multiple intrinsic empirical functions)
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Size: 7168 |
Author: butterflywf
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Description: EMD（经验模态分解，全称Empirical Mode Decomposition，一般指EMD算法）是Hilbert-Huang变换（HHT）的核心算法。
经验模态分解(EMD)算法是通过算法过程定义的，而并非由确定的理论公式定义的，所以对其进行准确的理论分析非常困难，我们目前只能借助大量的数字仿真试验不断对其性能进行深入的研究。 EMD算法的目的在于将性能不好的信号分解为一组性能较好的本征模函数（IMFIntrinsic Mode Function ），且IMF须满足以下两个性质：
(1)信号的极值点(极大值或极小值)数目和过零点数目相等或最多相差一个；
(2)由局部极大值构成的上包络线和由局部极小值构成的下包络线的平均值为零。
EMD算法的计算步骤如下：
（1）找出原数据序列X(t)的所有极大值点和极小值点，将其用三次样条函数分别拟合为原序列的上和下包络
线；上下包络线的均值为m1；将原数据序列减去m1可得到一个减去低频的新序列h，即h1=X(t)－m1；
一般h1不一定是平稳数据序列，为此需对它重复上述过程。如h1的包络均值为m11，则去除该包络平均所代表的低频成分后的数据序列为h11，即h11=h1－m11
重复上述过程，这样就得到第一个本征模函数分量c1，它表示信号数据序列最高频率的成分。(EMD (Empirical Mode Decomposition, generally referred to as EMD Algorithm) is the core algorithm of the Hilbert-Huang Transform (HHT).
The Empirical Mode Decomposition (EMD) algorithm is defined by the algorithm process and is not defined by the definite theoretical formula. Therefore, it is very difficult to conduct accurate theoretical analysis on it. We can only rely on a large number of digital simulation tests to continuously evaluate its performance. Conduct in-depth research. The purpose of the EMD algorithm is to decompose a signal with poor performance into a set of better-performing IMMF ntrinsic mode functions, and the IMF must satisfy the following two properties:
(1) The number of extreme points (maximum or minimum values) of the signal and the number of zero-crossings are equal or at most one difference;)
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Size: 194560 |
Author: Nero水人 |
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