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Gngauss
- 产生高斯分布随机变量方法的Matlab脚本,运用该小程序可以方便产生高斯分布随机变量-Random variables have a Gaussian distribution methods Matlab scr ipt, use the small program can easily generate Gaussian distributed random variables
randgen
- 产生2维高斯分布的matlab代码,应用价值高-Have a 2-dimensional Gaussian distribution of the matlab code, the application of high value
Gaussianprocessr
- 高斯分布程序用于概率中的随机取值,其中第二次随机还用到了平均分布-Procedures for the probability of Gaussian distribution of random values, which were also used for the second time the average distribution
random
- 第13章: 随机数生成 PFQZ 用平方取中法产生随机数列 MixMOD 用混合同余法产生随机数列 MulMOD1 用乘同余法1产生随机数列 MulMOD2 用乘同余法2产生随机数列 PrimeMOD 用素数模同余法产生随机数列 PowerDist 产生指数分布的随机数列 LaplaceDist 产生拉普拉斯分布的随机数列 RelayDist 产生瑞利分布的随机数列 CauthyDist 产生柯西分
EM_GM_fast
- 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
stproc-2.1
- matlab的随机过程仿真实现,包含泊松过程,指数分布,高斯分布等-matlab random process simulation to achieve, including the Poisson process, exponential distribution, Gaussian distribution
blogreg
- 实现在参数先验是高斯分布情况下,利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 -It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression mode
localRand
- 常用随机数发生器,C实现 /* * 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。 * Gen
som
- 自组织映射网络的构建案例,模拟均匀分布和高斯分布-the nuron network of som
GetSample
- 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.
Pdfrandom
- 利用matlab实现高斯分布、指数分布、正太分布等概率分布的方法。-Using matlab to achieve Gaussian distribution, exponential distribution, is too distribution probability distribution method.
DistridutionFunction
- 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
randomnumber
- 用C代码生成高斯分布的随机数和服从均匀分布的随机数 并生成文本文件-C code generation with Gaussian distribution of random numbers and uniform distribution of the random number and generates a text file
gauss_distributing
- 用matlab仿真高斯分布;先产生高斯分布,并用matlab显示-Matlab simulation with Gaussian distribution first of Gaussian distribution, and display using matlab
aboutgddmatlab
- 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
em-three-preference
- 基于EM算法,可以估计在混合高斯分布下的三个参数-EM expection
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
Guess
- 用m语言绘出高斯分布,并以GMM模型的简单例子来进行非曲线拟合。(The Gauss distribution is drawn in M language, and a simple example of the GMM model is used to do the non curve fitting.)
随机信号
- 三种分布的随机信号:泊松分布、瑞利分布和高斯分布(Random signals of three distributions: Poisson distribution, Rayleigh distribution and Gauss distribution)
Gaussian
- 采用C语言模拟产生一组高斯分布的随机数字。(this is a Guassian of C language.)