因而，相对于自适应高斯核函数而言，两者性能更优。
So they have better performance than adaptive Gaussian kernel.
试验证明径向高斯核函数时频分布在故障诊断中有较强的特征提取作用。
The experiments are presented to show the RGK TFD has superior character extracting ability than the traditional fixed kernel TFD that is often used in fault diagnosis.
首先，为了去除测量产生的噪声和误差，引入高斯核函数为每个采样点加权；
To filter out the noise and error arising out of various physical measurement processes and limitations of the acquisition technology, a Gaussian weight is assigned to each point acquired.
首先分析了自适应高斯核函数的局限性，并作了改进，同时给出了其参数估计方法。
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
提出用离散曲率法提取特征点，曲率表达式包含了高斯核函数曲线，选用了合适的离散尺度因子。
The discrete curvature arithmetic was used to extract feature points, which the curvature expression contains Gaussian nuclear function and chooses appropriate discrete scale factor.
本文较全面地研究了支持向量机的理论及应用方法，讨论了支持向量机中高斯核函数参数的选择问题，首次将支持向量机用于测井参数属性估计储层属性中。
This paper discusses the theory of SVM thoroughly, especially how choose the parameter of the Gauss kernel SVM, at last we discusses the application of SVM in predicting reservoir parameter form wel.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
本文采用高斯变异遗传算法作优化技术，实现了KPCA和GA的集成，适合核函数参数的优化选择。
In the paper, GBGM-GA is seen the optimization technique combining KPCA and GA, and is suitable to the optimization selection of kernel function parameter.
通过高斯分布函数描述形核质点密度随温度的分布关系，在给定过冷度时对分布函数求积分可得该时刻的形核密度。
Gauss distribution function was employed to describe the relation between the density of nucleation sites and the temperature and was integrated to get the grain density at a given undercooling.
文中以模糊函数理论为基础，分析了时频分析产生交叉项的原因，给出了以径向高斯函数为核函数的自适应时频分析优化算法。
This paper based on ambiguity function theory analyzes the cause of cross-components and gives the optimization algorithm of adaptive TFD with radially-gaussian kernel.
文中以模糊函数理论为基础，分析了时频分析产生交叉项的原因，给出了以径向高斯函数为核函数的自适应时频分析优化算法。
This paper based on ambiguity function theory analyzes the cause of cross-components and gives the optimization algorithm of adaptive TFD with radially-gaussian kernel.
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