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Hilber-Huang变换的MATLAB程序
Mat_emd is a Matlab program demonstrating performing the Empirical Mode Decomposition and Hilbert-Huang transform on seismic reflection data
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基于希尔伯特-黄变换HHT-DPS
基于希尔伯特-黄变换HHT-DPS
基于希尔伯特-黄变换HHT-DPS,HHT-DPS
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Hilbert-huang变换代码,主要实现HHT变换中EMD分解的Matlab程序,已经通过实际调试,附运行效果bmp图,若参数稍加修改,可对不同信号进行多模态分解。-HHT transform EMD decomposition Matlab program, through the actual commissioning, operating results bmp attached map parameters slightly modified, different signals
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MATLAB的希尔伯特黄变换,其中包括了emd-Hilbert Huang Transform MATLAB, including emd
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本matlab程序可以对列车称重仪的数据进行分析处理,是一个hilbert-huang变换的很好例子!-The matlab program can train weighing instrument of data analysis and processing, is a hilbert-huang transform a good example!
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希尔伯特黄变化的3次matlab编程程序,适合于研究HHT的人-Hilbert-Huang change 3 times Matlab programming, suitable for the study of HHT
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实现希尔伯特-黄变换的功能,并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数(IMF),然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。-The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain
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hilbert-huang变换计算的相关Matlab程序列表,通过经验模式分解将信号分解为一系列满足单频率分量条件的本征模函数,可求得信号有物理意义的瞬时频率-Related programs list Matlab hilbert-huang transform calculated by empirical mode decomposition signal is decomposed into a series of single-frequency components to meet
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该程序绘制了仿真信号的FFT频谱和功率谱,并调用emd分析方法,绘制了emd分解结果,以及瞬时包络和瞬时频率图,还有Hilbert-Huang谱和Hilbert边际谱。-The program draws the FFT spectrum and the power spectrum of the simulated signal and call emd analysis, drawn emd decomposition and instantaneous envelope and insta
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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 in
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进行希尔伯特黄变换时,用EMD方法分解出IMF函数的程序-
When Hilbert-Huang transform method using the EMD decomposition of functions IMF program
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HHT希尔伯特黄变换针对复杂谐波,暂降,中断,简单谐波,简单中断以及间谐波等的MATLAB 处理-HHT Hilbert-Huang Transform for complex harmonics, dips, interruptions, harmonics simple, easy to break and inter-harmonics of MATLAB processing
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基于经验模态分解法(EMD)的Hilbert-Huang变换(HHT)的MATLAB程序。
可将非平稳信号转换为平稳信号,通过将IMF分量累加重构得到平稳信号 。
主程序为HHT.m,需要用到hhspectrum.m函数、instfreq.m函数(在压缩包内)和已安装的EMD工具箱中emd函数。(The empirical mode decomposition (EMD) method based on Hilbert-Huang transform (HHT) of the MATLAB
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信号处理:希尔伯特-黄变换;应用于地震信号处理(Signal Processing: Hilbert-Huang Transform; Applied to Seismic Signal Processing)
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Hilbert Huang Transform
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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:
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基于MATLAB对EMD算法分解的例子,学习希尔伯特-黄变换的可以参考学习(Based on the example of EMD algorithm decomposition in MATLAB, learning Hilbert-Huang transform can be referred to.)
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Hilbert-Huang transform algorithm to compress the package, and use it directly after decompression
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使用2019a Matlab所带HHT程序编写的三维hilbert谱,并带仿真程序,可以直接运行出结果。(The 3D Hilbert spectrum written by HHT program of 2019a MATLAB and the simulation program can run the result directly.)
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希尔伯特-黄变换的matlab程序,内含集合经验模态分解文件(Hilbert Huang transform matlab program, including set empirical mode decomposition file)
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