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自己编写的matlab程序，用于广义高斯分布的形状参数估计。-Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation.
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fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm
format: [u,sig,t,iter] = fit_mix_gaussian( X,M )
input: X - input samples, Nx1 vector
M - number of gaussians which are assumed to compose the distributi
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常用随机数发生器，C实现
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* 文件包含了6个函数，它们能产生符合相应分布的规律的随机数：
* GenUniformRnd ： 产生一个随机数，符合均匀分布。（伪随机序列）
* GenBernoulliRnd ： 产生一个随机数，符合伯努利分布。
* GenBinomialRnd ： 产生一个随机数，符合二项分布。
* GenPoissonRnd ： 产生一个随机数，符合泊松分布。
* GenExponentRnd ： 产生一个随机数，符合指数分布。
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模式识别中Parzen窗函数的实现，模拟对二维高斯分布的非参估计。窗函数有三种：高斯窗、指数窗、方窗-Pattern Recognition Parzen window function of the realization, simulation of two-dimensional Gaussian distribution is estimated non-participation. There are three window function: Gaussian window, th
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生成二维的联合高斯分布，matalb程序，代码中包含联合分布密度图。-Generate two-dimensional joint Gaussian distribution, matalb procedures, the code contained in the joint distribution density map.
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本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples
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编写实现最优阈值方法。假设目标和背景的分布为高斯分布。程序的输入参数根据公式要求而定。将得到的值作为程序输入的参数，对图像进行分割。-Preparation methods to achieve the optimal threshold. The assumption that the distribution of the target and background for the Gaussian distribution. Procedures in accordance with th
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Java codes to generate white noise signal (Gaussian distribution)
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EM算法的高斯分布的MATLAB程序源码实现-EM Algorithm for Gaussian distribution of the MATLAB program source code to achieve
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function for generating N gaussian distribution samples
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MATLAB医学影像处理实验(内含14个原代码及教学的说明)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fo
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随即分布数据产生的程序，产生均匀分布、瑞利分布、标准高斯分布、莱斯分布的随机变量-Then the distribution of data generation process, resulting in uniform distribution, Rayleigh distribution, the standard Gaussian distribution, Rice distribution of the random variable
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Gaussian Distribution.
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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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产生一个高斯分布的模式类的样本，特征向量为二维的。-Generate a Gaussian distribution model of the class samples for the two-dimensional feature vectors.
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创建一个高斯分布并画出其PDF曲线，文件设置为均值为0.其分散为1，参数可以调节-Create a Gaussian distribution, and Draw the PDF curve, the file is set to mean 0. The spread is 1, the parameter can be adjusted
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Active contours driven by local Gaussian distribution fitting energy
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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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用C语言产生服从高斯分布的随机数，可以由用户指定并输入高斯分布的均值和方差(to use C program get gaussian distribution variates)
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Gaussian distribution
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