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Neighbor-classification
- 近邻分类，属于模式识别类的。对两类数据分别产生高斯分布数据，用KNN算法看这个数属于哪个类的，并求测试数据和类中每个数据的欧氏距离-Neighbor classification, pattern recognition belongs to the class. Two types of data were generated Gaussian distribution data, to see with this number belongs KNN algorithm class and
em-algorithm
- em算法论文 EM算法为有限混合模型的极大似然估计提供了一个标准框架。本文简单推 导了有限混合高斯分布的EM算法，并针对其收敛速度慢的缺点设计了一种有效 选取参数初始值的方法，数值实验表明，该方法有助于EM算法以较快的速度在 参数真值附近收敛。-em algorithm papers
MH
- 利用Metropolis-Hastings准则实现对高斯分布的采样，建议分布是高斯分布-The use of standards to achieve Metropolis-Hastings sampling of the Gaussian distribution, the proposed distribution is a Gaussian distribution
stblrnd
- 生成服从稳定分布的随机序列，稳定分布具有比高斯分布更强的冲击特性-alpha stable distribution generator.
GGDimagedenoising
- 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
c语言产生随机数
- 使用c语言产生高斯分布，瑞利分布以及泊松分布的随机数
guassian
- 使用Box-Muller Method产生高斯分布-Generated using the Box-Muller Method Gaussian distribution
MCMC_Gibbs
- 由matlab实现的从高斯分布数据中进行Gibbs采样的示例程序，代码中我已加注释，比较好理解，对于学习MCMC的同学比较有帮助。当初我理解GIbbs采样非常痛苦，希望这份代码对与我有相同经历的同学帮上忙-Realized by MATLAB the Gauss distribution data of Gibbs sampling sample program, the code I have to add a comment, is better understood, more help
Particle-filter
- 粒子滤波算法，通过此程序，可以成功的仿真出粒子滤波。在滤波过程中粒子滤波可以处理任意形式的概率，而不像Kalman滤波只能处理高斯分布的概率问题。他的一大优势也在于此。 -Particle filter, through this program, you can emulate the success of the particle filter. In the process of filtering particle filter can handle any form of probab
lizilvbo
- 粒子滤波算法摆脱了解决非线性滤波问题时随机量必须满足高斯分布的制约条件，并在一定程度上解决了粒子群样本匮乏问题-Particle filter to get rid of the problem solving nonlinear filtering Gaussian random quantity must meet the constraints, and to some extent, solve the problem of lack of PSO sample
lab2
- 验证高斯分布的方差和均值 画出一个互相关系数为r(0<|r|<1)的二维高斯分布的pdf -Verify that the variance and the mean of the Gaussian distribution Pdf (<1 0 <| | r) of a two-dimensional Gaussian distribution is shown a cross-correlation r
Iterative-Fourier-algorithm-(GS)
- 迭代傅里叶算法实现对高斯光束的整形：用malab将二维的高斯分布图形转化成三维的分布的方法和用迭代傅里叶变换（GS）的算法对高斯光束的整形做对比-Iterative Fourier algorithm of gaussian beam shaping: the two-dimensional gaussian distribution with malab graphics into three-dimensional distribution method and using iterativ
AWGN
- AWGN信道的设计与仿真加性高斯白噪声在通信领域中指的是一种各频谱分量服从均匀分布（即白噪声），且幅度服从高斯分布的噪声信号。因其可加性、幅度服从高斯分布且为白噪声的一种而得名。-Design and Simulation of additive white Gaussian noise AWGN channel in the middle of the field of communication is a uniform distribution of each spectral compo
DT soft method
- 离散变换方法，将泊松分布模型变为高斯分布，便于去除噪生。
NIG.m
- 正态逆高斯分布 很重要 很重要 很重要 的运行形势-Normal Inverse Gaussian Distribution
Gauss2
- 获取一列高斯分布的数，可用来作为测试数据，非常实用。-Get a Gaussian distribution of the number, can be used as test data, very practical.
Region-Merging
- 彩色图像区域合并算法，高斯分布，有注释，后来用于极化SAR伪彩色图区域分割，引入Wishart分布-Region merging for color image
fit
- 多高斯分布拟合-fit for normal distrabutions
Two_Dimensional_Gaussian
- 高斯平滑滤波器被使用去模糊图像，和均值滤波器差不多，但是和均值滤波器不一样的地方就是核不同。均值滤波器的核每一个值都是相等，而高斯平滑滤波器的核内的数却是呈现高斯分布的。-Gaussian smoothing filter is used to blur the image, and almost mean filter, and averaging filter but not the same place is a different core. Each core value averag
guass2
- 通过二维高斯分布密度函数的模型，搭建双峰的高斯模型-The Gauss model of Shuangfeng is built by the model of the density function of the Gauss distribution.