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。
How do you implement a calculated Gaussian kernel?
你如何实现一个计算高斯内核？
An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.
通过研究核映射机理，提出了用于聚类分析的高斯核聚类算法。
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
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 presents a general data depth function with adaptive shape of deep contours based on Gaussian kernel function.
本文提出了一个具有自适应等深面的广义数据深度函数。
The distributions are obtained by kernel estimation methods using a Gaussian kernel with the optimal bandwidth chosen using the method proposed in Silverman (1986).
西尔弗曼1986的研究提出的方法进行了最优宽度选择，进而通过高斯核心估计方法获得了这个分布。
The Gaussian kernel mean-shift algorithm which is deduced from kernel density estimation has not been widely employed in applications because of its low convergence rate.
由核密度估计推导获得的高斯核均值漂移算法因收敛速度慢在应用中效率不高。
The paper proposes a new method of adaptive smooth filter, based on that to design a Gaussian kernel adaptive smooth filter so as to suppress the random noise spread on the infrared image.
文章提出了一种新的自适应平滑滤波方法，并据此设计自适应高斯核平滑滤波来抑制红外图像中的随机噪声。
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.
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.
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。
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