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1)  Local mean decomposition
局部均值分解
1.
Comparison between the methods of local mean decomposition and empirical mode decomposition
局部均值分解与经验模式分解的对比研究
2.
The local mean decomposition method and its application to gear fault diagnosis
局部均值分解方法及其在齿轮故障诊断中的应用
3.
Two methods of time-frequency analysis, Hilbert-Huang transform (HHT) and local mean decomposition (LMD), are studied and applied in time-varying structural modal parameter identification in this paper.
但大型柔性空间结构、高速飞行器和高速列车等实际工程又有迫切的需要,为此,本文在系统总结时变结构模态参数识别研究现状的基础上,主要研究了Hilbert-Huang变换(HHT)和局部均值分解(LMD)两种新的时频分析方法在时变结构模态参数识别中的应用。
2)  Local Mean Decomposition
局域均值分解
1.
Study on Methods and System for Fault Characteristics Extraction of Rotating Machines Based on Local Mean Decomposition;
基于局域均值分解的旋转机械故障特征提取方法及系统研究
2.
A new time-frequency analysis method called local mean decomposition(LMD) was introduced.
应用局域均值分解(LMD)和经验模态分解(EMD)求取仿真信号和汽轮机转子振动信号的瞬时频率。
3)  local mean decomposition(LMD)
局域均值分解(LMD)
4)  local mean
局部均值
1.
Infrared object tracking based on local mean of integral edge strength
基于积分边缘强度局部均值的红外目标跟踪
2.
This method mainly takes advantage of the grey level change of texture image to compare the pixel grey level value to the local mean of neighbour domain which the .
此方法主要利用纹理图象的灰度变化特性,采用将像素点灰度与所在邻域内灰度的局部均值比较的方法,使原方法更有针对性。
5)  Local singular value decomposition
局部奇异值分解
1.
A novel human face recognition method based on local singular value decomposition and nearest neighbor decision rule has been proposed,its essential contents can be listed as follows.
提出了一种基于局部奇异值分解和最近邻决策规则的人脸图像识别方法。
6)  Non-local means
非局部均值
1.
Image denoising technology is one of the forelands in the field of Computer Graphic and Computer Vision; Non-local Means method is one of the great performing methods which arouse tremendous research.
本文在非局部均值算法的基础上提出改进方案,针对图像自身的特点自适应的取最优参数,同时大大的减低其运算量和时间。
2.
Non-local means model processes image basing on global information.
本文提出一种偏微分方程约束的非局部均值图像插值模型。
补充资料:均裂分解
分子式:
CAS号:

性质:共价键分子A:B,在热、光等辐射条件下,成为自由基或成为离子。当共价键断裂时,A和B各占有1个电子成为A·和B·时称为均裂分解。若形成A和:B时,称为异裂分解。

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