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GGDSMATLAB
- 对广义高斯混合模型有个初步的认识，基本掌握GGD模型-Generalized Gaussian mixture model has a preliminary understanding of the basic grasp the GGD model
getComplexGGD
- 产生随机变量，服从generalized高斯分布的随机变量的代码-GGD
gg_mle
- DGGBETA针对广义高斯，GGDEMO，，GGD中BETA估计，广义高斯参数估计，概率密度，-DGGBETA for Generalized Gaussian, GGDEMO,, GGD in BETA estimated generalized Gaussian parameter estimation, probability density,
gg_mle
- matlab source for GGD
subSuperGaussPlot
- Gaussian Laplace and GGD Random Variables Generators
ggd
- 一种广义高斯分布的参数快速估计法,实现GGD函数拟合-The parameters of a generalized Gaussian distribution fast estimation method to achieve function fitting GGD
xinxiyincang
- 产生符合高斯分布N( u, a*a)的随机数，然后用参数估计法估计相应的 和 产生尺度参数为 的指数分布，并且估计参数 的取值和根据我介绍的方法产生GGD分布的随机数，形状参数为c =1.0-That meet the Gaussian distribution N ( u, a* a) of the random number, then the corresponding parameter estimation method to estimate and
GGD
- 这是几个不同形状参数的广义高斯分布的密度函数作图，以及形状参数的极大似然估计的程序。-This is several different shape parameters of the generalized Gaussian distribution density function mapping, as well as the shape parameter of the great likelihood estimation procedures.
VistaRestoreTools1.0
- denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 <
GGDimagedenoising
- 我按这篇文章做的，广义高斯分布及其在图像去噪中的应用，没有完全做出来，谁做出来了，分享一下- The statistics of imagewavelet coefficients is non2Gaussian and can be described by generalized Gaussian distribution (GGD). The paper investigates the issues of GGD statisticalmodel for wavelet coeffi