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6下载：
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
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定点频域ICA，使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with
GENERALIZED GAUSSIAN FUNCTION BASED
NEGENTROPY APPROXIMATION for SPEECH SIGNAL
SEPARATION
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基于小波变换的特征检索算法，用了广义高斯函数和K-L距离为相似侧度 -Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance
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A package for wavelet-based texture retrieval: MATLAB source code that produced the results in the paper Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance.
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GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
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This a random source code for delphi. Examples ramdom functions as follows:
The following Random Number Generators:
- Normal (Gaussian)
- Gamma
- Chi-squared
- Exponential
- Weibull
- Beta
- t
- Mult
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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,
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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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Acceptation rejection Algorithme for Generalized Gaussian Data Generation
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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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本程序，是SAR图像的提机密性，如广义高斯混合模型，welbull模型和高斯模型等等，是学习SAR图像统计模型的基础程序-This procedure is a SAR image to mention confidentiality, such as the generalized Gaussian mixture model, welbull model and Gaussian model, is the study of the SAR image statistical model p
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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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语音信号的几种概率密度函数，包括高斯模型、Laplace模型和广义高斯模型。-Several probability density function of the speech signal, including the Gaussian model, the Laplace model and the generalized Gaussian model.
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基本上实现这些类型的神经网络：
自适应线性网络（ADALINE）
多层多层感知器网络
广义径向基函数网络
动态细胞结构（DCS）网络与高斯或圆锥形的基础功能-There are blocks that implement basically these kinds of neural networks:
Adaptive Linear Networks (ADALINE)
Multilayer Layer Perceptron Networks
Generalized
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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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这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。-function [f, g] = dggbeta(beta, absx)
DGGBETA Derivative of generalized Gaussian pdf with respective to beta
[F, G] = DGGBETA(BETA, ABSX)
Return partial derivative and second order partia
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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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