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统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines,
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对广义高斯分布有个基本的认识，为以后的应用打下基础-The generalized Gaussian distribution have a basic understanding of lay the foundation for future applications
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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
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广义高斯分布随机样本的产生，具体讲解了如何产生广义高斯分布随机样本。-Generalized gaussian distribution of random samples produced to explain in detail how to produce, the generalized gaussian random samples.
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仿真产生十种概率分布的随机序列，包括均匀分布、高斯分布、指数分布、广义指数分布、混合指数分布、韦布尔分布、瑞利分布
广义瑞利分布、拉普拉斯分布、柯西分布等，并进行参数检验，概率分布检验和独立性检验-Simulation produces ten kinds of probability distribution of random sequences, including uniform, Gaussian, exponential, generalized exponential dist
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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.
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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 <
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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
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