Description: HHT(hilbert Huang-transfrom)可以实现同时对信号的时频分析，得到信号的Hilbert时频谱和能量谱，-HHT (hilbert Huang-transfrom) can achieve the same time, the time-frequency analysis, when the signal spectrum and Hilbert energy spectrum Platform: |
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Author:zhaowumian |
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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 Platform: |
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Author:NBB |
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Description: 以 Hilbert 轉換及內含模組函數(Intrinsic Mode Function)解析能譜分佈在時間歷程之變化附錄EMD解析程式-Hilbert transform and embedded modules to function (Intrinsic Mode Function) analysis of the energy spectrum of variation in the time course of EMD resolver Appendix Platform: |
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Author:RemingLii |
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Description: 本程序主要通过EMD和hilbert求IMF，作出HHT归一化能量谱图（三维图），边际谱图和瞬时能量图，并做完备性验证-The program primarily through EMD and hilbert seek IMF, to HHT normalized energy spectrum (three-dimensional map), the marginal spectrum and the instantaneous energy map, and do a complete validation Platform: |
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Author:ifengdoo |
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Description: 本程序主要通过EMD和hilbert求IMF，作出HHT归一化能量谱图（三维图），边际谱图和瞬时能量图，并做完备性验证，比较好用-This program mainly by EMD and Hilbert and the IMF, make the HHT normalized energy spectra (three-dimensional figure), marginal spectrum and instantaneous energy diagram, completeness, and do work well Platform: |
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Author:佩佩 |
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Description: 信号的希尔伯特-黄变换，IMF分解，对IMF进行Hilbert处理，绘制二维/三维时-频图，时间-能量图(瞬时能量谱) ，频率-能量图（希尔伯特谱）-Hilbert signals- Huang Transform, IMF decomposition of the IMF Hilbert processing, rendering 2D/3D time- frequency diagram, time- energy (instantaneous energy spectrum), the frequency- energy (Hilbert spectrum) Platform: |
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Author:陈琦 |
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Description: 频谱分析仪是信号处理研究领域必不可少的工具。现有的基于快速傅利叶变换的频
谱分析仪能对线性的平稳的信号进行有效分析，但难以分析出非线性非平稳信号的瞬时频率
能量变化情况。针对此问题，本文设计了基于希尔伯特黄变换的频谱分析仪，能够对非平稳
信号进行有效分析。所设计系统以DE2-FPGA开发板为硬件平台，结合了NiosII的软核处
理器加以实现，可对采集的外部信号进行希尔伯特黄变换，得到信号的时间-频率-能量三维
谱，并可在VGA上实时显示出来。系统测试结果表明，所设计频谱分析仪对非线性非稳定
信号有很好的效果，与Matlab处理结果保持一致，有效弥补了传统信号分析仪的不足。-Spectrum analyzer is an essential signal processing research tool. Existing analysis can effectively smooth linear signal spectrum analyzer based fast Fourier transform, but it is difficult to analyze the nonlinear and non-stationary signal instantaneous frequency energy changes. To solve this problem, we design a spectrum analyzer based on Hilbert Huang Transform, able to carry out effective analysis of non-stationary signals. The design of the system to DE2-FPGA development board as the hardware platform, combined with the soft-core processor NiosII be achieved, the external signal acquisition can be Hilbert Huang transform, time signal- Frequency- dimensional energy spectrum, and can be displayed in real time on the VGA. System test results show that the design spectrum analyzer nonlinear non-stationary signals have very good results, consistent with the Matlab results, effectively compensate for the shortcomings of traditional signal analyzers. Platform: |
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Author:张春竹 |
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Description: 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。-Hilbert-Huang transform (HHT) is a new non-stationary signal processing techniques, the method by the empirical mode decomposition (EMD) and Hilbert spectral analysis of two parts. Any non-stationary signals are first processed through the EMD method after being broken down into a series of data sequences with different characteristic scales, each sequence is called an intrinsic mode function (IMF), then Hilbert spectrum analysis of each component of the corresponding IMF component of the Hilbert spectrum, Hilbert spectrum is obtained summary of all the spectrum of the original signal. This method is essentially non-stationary signals smooth process, different scales of the signal in real fluctuation or trend gradually break out, ultimately the instantaneous frequency and energy to characterize the frequency content of the original signal. Platform: |
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Author:尚允坤 |
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Description: 本程序主要通过EMD和hilbert求IMF，边际谱图和瞬时能量图，并做完备性验证-This program seek IMF, marginal spectrum and instantaneous energy diagram by EMD and hilbert, and do completeness verification Platform: |
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Author:yufulin |
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Description: 功率谱是功率谱密度函数的简称，它定义为单位频带内的信号功率。它表示了信号功率随着频率的变化情况，即信号功率在频域的分布状况。-Spectral analysis or Spectrum analysis is analysis in terms of a spectrum of frequencies or related quantities such as energies, eigenvalues, etc. In specific areas it may refer to:
Spectroscopy in chemistry and physics, a method of analyzing the properties of matter their electromagnetic interactions
Spectral estimation, in statistics and signal processing, an algorithm that estimates the strength of different frequency components (the power spectrum) of a time-domain signal. This may also be called frequency domain analysis
Spectrum analyzer, a hardware device that measures the magnitude of an input signal versus frequency within the full frequency range of the instrument
Spectral theory, in mathematics, a theory that extends eigenvalues and eigenvectors to linear operators on Hilbert space, and more generally to the elements of a Banach algebra
In nuclear and particle physics, gamma spectroscopy, and high-energy astronomy, the analysis of the output of a pulse height analyze Platform: |
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Author:kalvin |
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Description: 本程序主要通过EMD和hilbert求IMF，作出HHT归一化能量谱图（三维图），边际谱图和瞬时能量图，并做完备性验证(This program mainly through EMD and Hilbert for IMF, make HHT normalized energy spectrum (three-dimensional graph), marginal spectrum and instantaneous energy diagram, and finished the verification, if there is a problem, you can contact QQ1373687980) Platform: |
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Author:csg
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Description: emd分解之后再进行希尔伯特变换，获得能量谱(After EMD decomposition, Hilbert transform is used to obtain the energy spectrum.) Platform: |
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Author:lgh |
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Description: 针对矿浆管道工况调整给泄漏检测带来的干扰，准确提取泄漏信号的特征量是降低泄漏误报、漏报的关键。为此，提出了一种基于经验模态分解（EMD）、Hilbert能量谱与变量预测模型（VPMCD）相结合的泄漏检测方法。该方法首先将压力信号分解成若干个固有模态函数（IMF）之和，然后将IMF分量进行Hilbert变换得到局部Hilbert能量谱，依据能量分布的标准差选择最能准确反映矿浆管道运行工况的局部能量谱作为特征值向量，最后通过VPMCD分类器建立泄漏识别模型。将该方法应用于泄漏检测中，实验结果表明，矿浆管道在正常运行、泄漏和工况调整状态下，识别率达到95%，并综合分析流量信号，提高了泄漏检测精度。(According to the interference to leak detection of mineral slurry pipeline caused by work condition adjustment,effectively extracting the characteristics of leak signal is the key to reduce the leakage of the false negatives and false positives.In this paper,a leak detection method based on EMD and VPMCD is proposed. In this method,the pressure signals are decomposed into several IMF components, and then take local Hilbert energy spectrum which most accurately reflect the pipeline operation conditions as feature values, Finally the leak identification model is established by VPMCD classifier.When the method is applied to the leak detection,the experimental results show that under the conditions of normal operation,leakage and work condition adjustment, the recognition rate of the mineral slurry pipeline reaches 95%,and by comprehensively analyzing the flow signals, it also improves the accuracy of leak detection.) Platform: |
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Author:M-min |
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Search - Hilbert Energy Spectrum.