1) generalized Gaussian distribution statistic model
广义高斯分布统计模型
2) Generalized Gaussian Distribution
广义高斯分布
1.
An Efficient Video Moving Object Detection Algorithm Based on Generalized Gaussian Distribution
基于广义高斯分布的视频运动目标快速检测算法
2.
The parametric analysis is presented for the sparse signal followed generalized Gaussian distribution (GGD).
对于服从广义高斯分布(Generalized Gaussian distribution,GGD)的稀疏信号进行了参数分析。
3.
Applying generalized Gaussian distribution to statistical model of the Alternating current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is presented on the basis of sign detector and linear correlate detector and its probability efficiency is deduced.
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,在符号检测器和线性相关检测器的基础上,提出一种盲水印自调节的检测算法,并推导出该检测器有较高的检测效率。
3) Generalized Gaussian Distribution(GGD)
广义高斯分布
1.
Based on the assumption that wavelet coefficients obey Generalized Gaussian Distribution(GGD),this paper adopts Maximum Likelihood(ML) principle to estimate wavelet coefficients variance of common images in sub-bands.
基于小波系数服从广义高斯分布,该文采用最大似然(ML)准则估计普通图像在子带上的系数方差。
4) generalized Gaussian model
广义高斯模型
1.
Blind steganalysis of image based on Multiwavelet generalized Gaussian model;
基于Multiwavelet广义高斯模型的图像盲隐写分析
2.
In this work,the generalized Gaussian model and the Laplacian model,which are used most widely,were studied.
针对离散余弦变换(DCT)系数分布模型类型存在的异议,研究并比较了拉普拉斯模型和广义高斯模型。
3.
In this paper,through using histograms to estimate the marginal and joint statistics of Curvelet and Contourlet,Generalized Gaussian Model and Hidden Markov Model in respective domains are proposed.
针对目前模型主要以自然图像的简化模型为基础进行分析,导致与真正的自然图像还相差甚远的特点,本文采用直方图估计曲波域和轮廓波域的边缘分布,分析联合分布统计信息,提出曲波域广义高斯模型和轮廓波域隐马尔可夫模型,2模型都能够有效地描述变换域系数在尺度间,尺度内和方向间的统计相关性,便于对更加复杂的图像进行处理。
5) generalized Gaussian density distribution
广义高斯密度分布
6) Non-symmetrical Generalized Gaussian Distribution
非对称广义高斯分布
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
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