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Description: 我自己编写的基于经验模态分解的特征提取算法，EMD算法是把非平稳信号转化成平稳信号的分量和的一种方法。-I have written based on the empirical mode decomposition of the feature extraction algorithm, EMD algorithm is non-stationary signal into a smooth signal component and a method.
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Author: 赵栓峰 |
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Description: 一种新的时频分析方法对应的程序送给搞EMD或者HHT但没有下载到完整程序的朋友。源码-A new time-frequency analysis method to the corresponding procedures for engaging in EMD or HHT but not downloaded to complete the procedures friends. Source
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Author: 张伟 |
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Description: HHT变换的核心是EMD，在此项过程中通过EMD的编程和HHT的编程来实现了希尔伯特黄变换。可以看出处理此方法用来处理非线性信号为更好的方法。 -HHT Transform is the core of EMD, in the process of programming through EMD and HHT programming to achieve the Hilbert Huang Transform. As can be seen this method used to deal with non-linear signal processing for better alternatives.
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Description: 基于hht的大地电磁信号资料处理MATLAB方法实现-Based on HHT magnetotelluric signals MATLAB data processing method
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Author: cai jianhua |
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Description: 三种实现方式，采用MATLAB编程语言，一种是法国研究者设计的G Rilling 2007
另一种是MATLAB文件交换中心由Alan Tan开发的plot_hht程序包，第三种是台湾中央大学数据研究中心提供的EEMD包。
其中，我使用了plot_hht程序包，其使用了三个终止条件，驻留分量的单调性，极值点与零点的个数相差不超过1，还有黄锷1998经典文献提出的
SD>0.1，单调性的判断，并不是去判定驻留分量是否是单调函数，而是当曲线是双曲线时，循环结束，由于没有考虑端点效应，程序比较简洁，好读懂，大家
学习HHT可以从这个程序包入手，在此抛砖引玉，希冀有人能比较这三种不同的算法的性能和时间复杂度，以及对各种信号的适应性。-3 of hht method
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Author: 孙晓东 |
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Description: 基于HHT方法的模拟调频信号的hilbert谱分析-HHT-based method of analog FM signal hilbert spectral analysis
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Author: 张秀再 |
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Description: 介绍了一种信号处理的新方法，希尔伯特黄变换中的经验模式分解（EMD）.Hilbert-Huang Transform and its Application in Gear Faults Diagnosis-Introduces a new method of signal processing, Hilbert-Huang Transform Empirical Mode Decomposition (EMD). Hilbert-Huang Transform and its Application in Gear Faults Diagnosis
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Author: Tian |
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Description: The Hilbert–Huang transform (HHT)is an empirically based data-analysis method. Its basis of expansion is adaptive, so that it can produce physically meaningful representations of data from nonlinear and non-stationary processes.
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Author: folot |
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Description: HHT变换的EMD方法和希尔伯特谱的一些源程序，以及一些实例数据-HHT transform the EMD method and Hilbert spectrum of some of the source, and some examples of data
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Author: dinghao |
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Description: 模态处理相关程序，包括时域，频率，自普，互普，相干，频响，时频分析，HHt，随机减量法等等，很不错，可以借鉴-Modal treatment-related procedures, including time domain, frequency, since the S & P, each P, coherence, frequency response, time-frequency analysis, HHt, random decrement method, etc., very good, can learn
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Author: PC |
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Description: 优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。
本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。
-Hilbert-Huang Transform(HHT) is a new non-stationary signal processing technology，including the Empirical Mode Decomposition(EMD) and Hilbert spectral analysis．In this method，arbitrary non-stationary signals was divided into a series data sequence with different characteristic scales after the first EMD treatment，each sequence is called an intrinsic mode function(IMF)，and then each IMF component gained corresponding the Hilbert spectrum though Hilbert spectrum analysis，a summary of all Hilbert spectrum assembled to the spectra of the original signal．In essence，this method is a stable processing for non-stationary signal，which decomposed the different fluctuations or trends in the signal in rum，and represented the frequency content of the original signal using the final instantaneous frequency and energy．
This paper study a method to detect power quality disturbances based on the HHT，in which the principle and the realization of the HHT and the realization of power quality disturbance
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Author: NBB |
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Description: 分段异常信号实验，几个不同频率的信号叠加用HHT方法进行分解，是我做实验用的信号，验证无误，-Abnormal signal sub-experiment, several different frequency signal superimposed with the HHT method of decomposition, I did experiment with the signal, verify the correct
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Author: 三班 |
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Description: matlab编写的信号分解，采用HHT变换的EMD分解方法，提取信号的各阶EMD分量。-matlab write signal decomposition, the use of HHT transform EMD decomposition method to extract the signal component of each order EMD.
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Author: 凌凌 |
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Description: 可以用来方便的进行输入信号的Hilbert-Huang变换，经过了验证，可以使用-Used to implement the input signal of the Hilbert-Huang transform. First proposed calculation method, after validation, can be used.
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Author: ballack |
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Description: 能够进行信号的Hilbert-Huang变换的matlab语言代码，使用的是以前的老算法计算的，但是已经证明可用，希望能对初学者有帮助-Used to implement the input signal of the Hilbert-Huang transform. First proposed calculation method, after validation, can be used.Based on Matlab.
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Author: ballack |
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Description: 关于HHT原理的详细叙述，文章阐述了HHT方法的实用性-HHT principle described in detail, the article explains the the HHT method of practicality
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Author: 甲天 |
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Description: 经典的HHT方法MATLAB程序，HHT方法包括EMD分解和HIlbert变换两个方面(Classic HHT method, MATLAB program, HHT method, including EMD decomposition and HIlbert transform two aspects)
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Author: 雅静梦涵
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Description: 关于画HHT方法中包络谱和幅值谱的程序，可以精确画出Hilbert包络谱的图像(On painting HHT method in the envelope spectrum and amplitude spectrum procedures, you can accurately draw Hilbert envelope spectrum of the image)
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Author: 雅静梦涵
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Description: 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 program.
The non-stationary signals can be converted into stationary signals, and the stationary signals can be obtained by accumulating and reconstructing the IMF components.
The main program is HHT.m, which requires the hhspectrum.m function, the instfreq.m function (in the compressed packet) and the EMD function in the installed EMD toolbox.)
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Author: 丑小鸭xpz
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Description: HHT变换，HHT就是先将信号进行经验模态分解（EMD分解），然后将分解后的每个IMF分量进行Hilbert变换，得到信号的时频属性的一种时频分析方法。(HHT is to first perform the empirical mode decomposition (EMD decomposition) of the signal, and then perform Hilbert transform on each decomposed IMF component to obtain a time-frequency analysis method for the time-frequency properties of the signal.)
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Author: 白衣仓狗 |
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