Empirical mode decomposition(EMD) is a signal processing technique to decompose data set into several intrinsic mode functions(IMF) by a sifting process.
经验模式分解(EMD)通过筛分过程将原始信号分解成若干个基本模式分量(IMF),可看作无需预设带宽的自适应高通滤波方法。
Theory of the coherent-mode decomposition of laser beams was built.
建立了激光束的相干模分解理论。
Carrying out the improved empirical mode decomposition method utilizing the algorithm.
利用算法实现了改进后的经验模态分解方法。
A method of flow regime identification based on empirical mode decomposition was proposed.
提出了一种基于经验模式分解的气液两相流流型识别方法。
The principle of empirical mode decomposition (EMD) and concept of shape factor are introduced.
介绍了经验模态分解法(EMD)的原理及波形指数的概念。
A novel method of instantaneous phase analysis based on empirical mode decomposition is presented.
提出了基于经验模态分解的瞬时相位分析的新方法。
This paper presents a novel method for handwritten numeral recognition based on empirical mode decomposition.
将经验模型分解方法应用于手写体数字识别,提出了一种新的识别方法。
This paper proposes a method to remove trends based on correlation matrix by empirical mode decomposition(EMD).
提出一种基于相关系数矩阵判断准则的经验模态分解去除趋势项的方法。
Simulation result shows that the empirical mode decomposition method is at an advantage when denoising and improving SNR.
实验结果显示,使用经验模态分解方法在去除噪声,提高信噪比方面具有优越性。
Application to fault diagnosis of reciprocating compressor based on emprical mode decomposition and correlation dimension;
将分形几何引入齿轮振动信号的故障分析中 ,用关联维数来刻画振动信号的故障特征。
The reason to mode mixing in the result of empirical mode decomposition is discussed in respect of the variation of extremum series.
讨论了由于间歇信号嵌入导致经验模式分解结果出现模态混叠的现象,指出极值点序列幅值突变是产生模态混叠的根本原因。
Empirical mode decomposition is used for pre-processing. Decompose time series, then make models separately and combine all the values.
先将非平稳时间序列进行经验模式分解,再对各个分量分别建模,最后将各分量预测结果进行组合。
This thesis researches on the hiding information which held the image as the carrier and based on empirical mode decomposition algorithm.
本论文研究了以图像为载体,基于经验模式分解算法的信息隐藏。
In order to improve the forecast precision, a forecasting method based on empirical mode decomposition (EMD) and data mining method is proposed.
为了提高风电场风速短期预测的精度,提出了将经验模式分解与数据挖掘方法相结合对风速时间序列进行建模预测。
Empirical mode decomposition (EMD) method was used to study the fluctuation of inundated area of flood disaster from 1949 to 2002 in Hunan Province.
应用经验模态分解(EMD)方法分析了湖南省1949 ~ 2002年洪涝灾害成灾面积波动情况。
The relational mode decomposition of geographic entities is a key problem for applied designs of attributive database in database mode planning of GIS.
在GIS的数据库模式设计中,地理实体的关系模式分解是属性数据库应用设计的关键。
This paper investigates a new method of extracting partial discharge signals of hydroelectric generating set based on empirical mode decomposition (EMD).
提出一种基于经验模态分解(EMD)的水轮发电机组局部放电信号提取方法。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
针对在经验模态分解(EMD)筛选过程中间断信号引起的模态混叠问题,提出了一种新的解决方法。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
讨论了由于间歇信号嵌入导致经验模式分解结果出现模态混叠的现象,指出极值点序列幅值突变是产生模态混叠的根本原因。
Trough case study, detail signals of dynamic deformation of buildings above old mine goaf are obtained using multiscale empirical mode decomposition method.
通过实例研究,证实采用多尺度经验模态分解可获得老采空区上方地表建筑物的动态变形细部信号。
Based on the analysis of some problems in the method of empirical mode decomposition, the algorithm of empirical mode decomposition is improved in this paper.
在分析经验模式分解存在问题的基础上,改进了经验模式分解的算法,提出用窗口平均法取代原极值包络法来计算局部均值。
A new method is put forward for stability analysis and evaluation of buildings above goaf by multiscale decomposition using empirical mode decomposition (EMD) method.
基于多尺度经验模态分解(EMD),提出了老采空区上方地表建筑物稳定性分析及预测新方法。
Nonlinear and nonstationary time series are decomposed into a series of instrinsic mode functions and a residual trend item by the empirical mode decomposition (EMD).
非线性,非平稳的时间序列经过经验模分解,可以得到一组内模函数和一个基本的趋势项。
A prediction method based on support vector empirical mode decomposition (SVEMD) is proposed to deal with the non-linearity and non-stationarity of failure rate data.
针对故障率时间序列的非线性与非平稳特性,提出一种基于支持向量经验模态分解(SVEMD)的预测方法。
The proposed HVD method was based on the Hilbert transform(HT), just as Hilbert-Huang transform(HHT), but did not involve complicated empirical mode decomposition(EMD).
虽然HVD方法和希尔伯特黄变换(HHT)方法这两者均以希尔伯特变换为基础,但HVD方法避免了复杂的经验模式分解(EMD)过程。
A new method was provided based on the empirical mode decomposition (EMD) to solve the difficulties of infrared image dim small target detection in complex background of sky and sea.
针对红外图像中的小目标检测,提出了一种利用经验模态分解(EMD)提取海空背景下红外弱小目标的新方法。
A new method was provided based on the empirical mode decomposition (EMD) to solve the difficulties of infrared image dim small target detection in complex background of sky and sea.
针对红外图像中的小目标检测,提出了一种利用经验模态分解(EMD)提取海空背景下红外弱小目标的新方法。
应用推荐