The EMD method is a new method to analyze instability and nonlinearity.
EMD分解法是一种自适应的信号处理方法，适用于分析非线性、非平稳过程。
The EMD method and its adaptive filtering property in the process of obtaining the intrinsic mode function(IMF) were discussed.
讨论了经验模态分解方法及其在获取固有模态函数过程中的自适应滤波特性。
The use of empirical mode decomposition (EMD) method and wavelet analysis in combination is explored for the detection of changes in the structural response data from structural damage diagnosis.
采用经验模式分解(EMD)与小波分析相结合的方法探讨结构响应数据信号，进行建筑结构损伤检测诊断。
The experimental results show that this method based on EMD can(effectively) recognize the faults of gear crack.
齿轮故障实验信号的研究结果表明：该方法能有效地识别齿轮的齿根裂纹故障。
This paper proposes a new image segmentation method based on the theory of EMD.
本文基于经验模式分解理论提出了一种新的分割方法。
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。
Based on the idea of the correlation degree and the EMD (Empirical Mode Decompositon) time scale filtering, the EMD de-noising method based on the correlation degree is proposed.
基于EMD时间尺度滤波特性，在引入相关度分析的基础上提出了EMD相关度去噪方法。
Based on the advantages and shortages of EMD, it is the first time to use this method to Acoustic Emission Testing.
在分析了EMD方法的优点和不足的基础上，首次提出将该方法应用于声发射检测中。
First we employ EMD method to decompose the crude oil prices in NYMEX, and obtain a series of intrinsic mode function (IMF), which are stationary and of strong periodicity, and a trend term.
首先利用EMD方法对NYMEX市场的原油期货价格进行分解，得到一系列平稳且具有较强周期性的本征模函数(IMF)和一个趋势项。
The experiment result shows that the time-frequency method based on EMD can effectively extract the feature of unbalanced fault signal and is proper for non-frequency modulation signal procession.
研究结果表明：基于经验模式分解的时频分析方法可以很有效地提取到非平稳故障特征信号，是一种适合于非线性信号处理的方法。
For the problem of automatic vehicle recognition, a recognition method is proposed based on EMD and support vector machine.
针对现有车型识别存在的问题，提出利用经验模态分解和支持向量机的车型声频识别方法。
On the basis of the traditional vibration signals process method for the rolling bearing, the empirical mode decomposition (EMD) were applied in the fault diagnosis of the rolling bearing.
在分析了传统滚动轴承的振动信号处理方法的基础上，将经验模态分解法(EMD)应用到滚动轴承的故障诊断中来。
To deal with this problem, comparison is made between the empirical mode decomposition(EMD) and the wavelet method in terms of signal trend extraction.
研究了强噪声混合条件下微弱信号的经验模式分解（EMD）问题，提出了一种基于随机共振降噪的EMD分解方法。
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。
With the problem of noise disturbance in leak detection and location of pipeline, a signal process method based on empirical mode decomposition (EMD) and cross-correlation was presented.
针对长输管道泄漏检测与定位中噪声干扰问题，提出了一种基于EMD分解和相关分析的管道泄漏检测与定位方法。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
And a new method dealing with the end effect of EMD is proposed to enhance the accuracy of EMD decomposition.
并对其端点效应产生失真问题，提出了一种新的解决方法，增强了EMD分解的精确度。
This paper proposes an effective time series matching method by combining the empirical mode decomposition (EMD) with the alternative covering algorithm.
将经验模式分解和多层前向网络的交叉覆盖算法相结合，提出一种时间序列相似模式的匹配算法。
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。
An effective method of manganese dioxide preparation using the manganese titanium alloy as anode and adding suspension pellet of CMD or EMD in the electrolyte was introduced.
介绍一种使用锰钛合金做阳极并在电解液中加入悬浮颗粒(CMD或EMD)制备二氧化锰的有效方法。
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。
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。
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