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- generalized Gaussian kernel 推广高斯核
- So they have better performance than adaptive Gaussian kernel. 因而,相对于自适应高斯核函数而言,两者性能更优。
- This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK. 摘要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。
- When the Gaussian kernel function width is 2.0, RVM method possesses more perfect prediction performance. 当高斯核函数的宽度值取为2.;0时,相关向量机方法具有较为理想的预测效果。
- This paper proposes an improvement of LBF model,which utilizes a new kernel function instead of Gaussian kernel function. 提出了一个改进的LBF模型,它使用一个新的核函数代替高斯核函数。
- A novel approach is discussed to choose the bandwidth for kernel density estimation.Based on the Gaussian kernel function, the recursion formula of bandwidth is derived. 摘要在未知总体分布的情形下,给出密度核估计中选择窗宽的一个新方法,并在选取高斯核的情形下,推导出计算窗宽的递归公式。
- The key element of the method is wavelet coefficients in each sub-band of wavelet transform are modeled as a Generalized Gaussian distribution (GGD) with two parameters. 图像的小波子带分解系数纹理可以建模为两参数广义高斯分布。
- A Gaussian kernel adaptive smooth filter is proposed, on the basis of which a scheme is designed to extract information of targets according to the feature that the gray level of point targets and the edge of regional targets are high and vary greatly. 文中提出了高斯核自适应平滑滤波,并在此基础上依据点目标和面目标的边缘灰度值高及变化大的特点设计出提取方法,然后用区域增长恢复没有被提取出来的面目标的内部。
- Additional information can be found at the General Gaussian Web site. 额外信息可在高斯的一般高斯网站找到。
- Based on method of minimizing of mutual information and approximated generalized Gaussian distribution of equalized output signal,the equalizer changes its coefficients adaptively. 采用输出信号的广义高斯分布近似 ;基于互信息最小化目标函数自适应调整均衡器的系数 .
- Generalized Gaussian distribution is a class of symmetry distributions with the Gaussian distribution and Laplacian distribution as the special cases. It is widely applied in the fields of signal processing,image processing and so on. 广义高斯分布是一类以Gaussian分布、Laplacian分布为特例的对称分布 ;它在信号处理和图像处理等领域都有广泛的应用 .
- The main contributions of this thesis are as follows:Generalized Gaussian distribution (GGD) is a nice model for the DCT coefficients and wavelet coefficients in theory and practice. 本文主要的内容和创新点包括:由于广义高斯分布GGD(Generalized Gaussian distribution)的高度灵活性,理论上和实际中它都可以非常好地描述离散余弦变换(DCT)和小波变换(Wavelet transform)的编码系数(Transform coefficients)。
- By applying generalized Gaussian distribution to statistically model the alternating current coefficient of discrete cosine transform, the technology of the blind image watermark is studied and the performance of the new detector is analyzed. 摘要根据数字图像离散余弦变换域交流系数的广义高斯分布模型,对盲图像水印技术进行研究,并给出了水印检测器检测性能的理论分析结果。
- Gaussian kernel with multiple widths 多宽度高斯核
- A novel hardware implementation method of real-time generating Gaussian random noise based on CORDIC algorithm is proposed in this paper. 该文提出了一种基于坐标旋转数字计算机(CORDIC)算法实时产生高斯随机噪声的硬件实现方法。
- Moving object detection based on Gaussian kernel density model 基于高斯核密度模型的运动目标检测
- generalized Gaussian distribution 广义高斯分布
- generalized Gaussian distribution statistic model 广义高斯分布统计模型
- Generalized Gaussian (GG) sources 广义高斯信源
- Generalized Gaussian Density (GGD) 广义高斯模型
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