1) Neighborhood Limited Empirical Mode Decomposition(NLEMD)
限邻域经验模式分解
1.
This paper proposes one new multifocus image fusion algorithm based on Neighborhood Limited Empirical Mode Decomposition(NLEMD).
提出一种基于限邻域经验模式分解(NLEMD)的多聚焦图像融合算法。
2) empirical mode decomposition(EMD)
经验模式分解
1.
To deal with this problem,comparison is made between the empirical mode decomposition(EMD) and the wavelet method in terms of signal trend extraction.
为了解决这一问题,本文在对比小波方法和经验模式分解法(EMD)提取复杂信号趋势项的能力的基础上,将EMD方法用于抽油机井系统效率测试数据分析,有效地提取了抽油机井系统效率的变化趋势,仿真结果表明该方法具有简便和高效的特点。
2.
Aiming at difficulty of weak impactive roller bearing fault feature extraction of composite faults,a demodulation method based on the second generation wavelet and the empirical mode decomposition(EMD) is proposed to separate the coupling features of a composite fault and to extract the fault feature of a roller bearing.
该方法首先应用第二代小波分解与重构原始信号,针对分解与重构出的高频段信号进行经验模式分解(Empirical Mode Decomposition,EMD),得到若干个本征模函数(Intrinsic Mode Functions,IMFs),然后针对本征模函数中的高频成分进行Hilbert包络解调,准确提取高频调制故障特征。
3.
A prediction modelling method was proposed for non-linear and non-stationary time series,based on empirical mode decomposition(EMD) and support vector regression(SVR).
提出了一种基于经验模式分解和支持向量回归的非线性、非平稳时间序列预测建模方法。
3) empirical mode decomposition (EMD)
经验模式分解(EMD)
1.
A flow regime identification method, which is based on empirical mode decomposition (EMD) multi-scale information Renyi entropy and least squares support vector machine (LS-SVM), was put forward.
提出一种基于经验模式分解(EMD)多尺度Renyi熵和最小二乘支持向量机(LS-SVM)的流型辨识方法。
4) empirical mode decomposition
经验模式分解
1.
Short-term load forecasting based on empirical mode decomposition and least square support vector machine;
基于经验模式分解和最小二乘支持向量机的短期负荷预测
2.
Suppressing crossterms of Wigner-Ville distribution based on empirical mode decomposition;
基于经验模式分解的Wigner-Ville分布交叉项抑制方法
3.
R wave detection algorithm and noise removal in ECG based on empirical mode decomposition;
基于经验模式分解的R波识别及噪声消除
5) EMD
经验模式分解
1.
A New Epileptic Prediction Method based on EMD and Sample Entropy;
基于经验模式分解与样本熵的癫痫预测方法
2.
Adaptive de-noising algorithm based on EMD;
基于经验模式分解的自适应去噪算法
3.
SVD noise control based EMD of mechanical vibration signal and its application
基于SVD降噪的机械振动信号经验模式分解及其应用
6) empirical mode decomposition(EMD)
经验模式分解(EMD)
1.
A flow regime identification method,which is based on empirical mode decomposition(EMD) multi-scale information Renyi entropy and least squares support vector machine(LS-SVM),was put forward.
提出一种基于经验模式分解(EMD)多尺度Renyi熵和最小二乘支持向量机(LS-SVM)的流型辨识方法。
2.
The empirical mode decomposition(EMD) method is used to decompose the vibration signal into a number of intrinsic mode function(IMF) components and then the auto-regressive(AR) model of each IMF component is established.
采用经验模式分解(EMD)方法对振动信号进行分解,得到固有模态函数(IMF),对每一个IMF分量分别建立AR模型,以模型的自回归参数和残差的方差作为特征向量,用支持向量机(SVM)进行分类,判断柴油机的工作状态和故障类型。
3.
The empirical mode decomposition(EMD) of weak signals submerged in a heavy noise was conducted and a method of stochastic resonance(SR) used for noisy EMD was presented.
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。
补充资料：限域
1.限定的区域。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条