搜索资源列表
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高斯分布源程序，基于三角函数产生的，希望大家多指点，交流-Gaussian distribution source, based on the trigonometric function, we hope that more guidance and exchanges!
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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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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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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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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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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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常见概率分布的随机数生成程序，包括均晕分布、高斯分布、对数正态分布、K分布、t分布、韦布尔分布。-Common probability distribution of the random number generation process, including both halo distribution, Gaussian distribution, lognormal distribution, K distribution, t distribution, Weibull distrib
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关于前景背景分离的论文集，内容涵盖了很多方面，从差分，到高斯分布，到codebook-Background on the prospects of separation proceedings, covers many aspects, from the differential to the Gaussian distribution, the codebook, etc.
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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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fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm
format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M )
input: X - input samples, Nx2 vector
M - number of gaussians which are assumed to compose the
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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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贝叶斯分类器，首先生成3000个高斯分布的点，1000个点做训练集，2000个点做测试集。先运行data_generator.m自动生成两个集盒，再运行bayes_classifier.m进行分类-Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Aut
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1.duishuzhengtai：产生对数正态分布
2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2
3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗）
4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024
5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量
6.tfenbu：本函数产生自由度为m，数据量为n的t分布。
7.weibuer：a=1时,是指数分
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首先产生均匀分布，然后通过变换产生高斯分布的随机数，并画出概率密度函数的直方图-Uniform distribution generated first, and then converting a Gaussian distribution random number, and a histogram of the probability density function draw
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针对激光光斑图像或荧光小球等图像进行高斯拟合定位其中心坐标。可同时定位一幅图像中的多个小球。要求对象模型符合高斯分布。-For laser speckle images or small fluorescent balls image gaussian fitting location and its center coordinates. Can be positioning an image of the multiple balls at the same time. Request ob
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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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