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plotgaussiandata
- 高斯分布二维的数据的产生和画图函数，供数据仿真分析用
Parzen_Window
- 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
NormalDis
- 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.
code
- 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
DrawGuassin
- matlab代码，描述了如何画高斯一维分布，和二维，三维以及高维分布，有产生高斯数据的matalb函数-matlab code，discr ipt how to draw a gaussian function and the code that produce the data for this fuction
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.
demo1
- 我自己写的关于二维混合高斯分布的EM算法-I wrote about the distribution of two-dimensional Gaussian mixture EM algorithm
workii
- 机器人角度融合算法，二维高斯分布任意角度数据融合-The fusion of different robot observations
HW1
- HOMEWORK,采用神经网络的方法来分类二维独立高斯分布.-determine the classification rate for the training set and the test set
Maxmun-Likelihood
- 参数估计时用极大似然可以在处理二维图像时，如果服从高斯分布或者Rayleigh分布时进行参数估计方法，是经常用到的一种估计方法-Maximum Likihood estimated mathod.if the math is Gaussian or Rayleigh ,then you can use this mathod,is useful.
twoD_CA_CFAR
- 韦布尔分布，对数正态分布和高斯分布条件下的时频二维恒虚警处理-under the condition of Weibull, Log-normal and Gauss, Time-Frequency CFAR
fit_mix_2D_gaussian
- 实现二维高斯分布的参数拟合，并画出分布直方图-Two-dimensional Gaussian distribution parameter fitting, and draw the histogram
Matlab-graphics-classic-case
- matlab经典绘图案例。包括三维曲面z=x^2+y^2的动画、正弦曲线的动画、切片图、向量图、三维彗星图、三角形网格图、三角形表面图、球面、等值线图、三维瀑布图、三维火柴杆图、三维散点图、柱形图、三维条形图、三维饼图、带形图、曲线图、高斯分布函数的曲面图、高斯分布函数的网格图、5阶高斯分布矩阵、梯度场矢量图、罗盘图、玫瑰花图、羽列图、数据向量的单轴对数坐标图、矩阵的条形图 矩阵的面积图、二维饼图、散点图、误差图、火柴杆图和碗状曲面图等等。 -Drawing matlab classic
gauss
- 用二维随机数生成二维高斯分布随机表面，可调整均方差、相关长度等参数-Generate a two-dimensional Gaussian random numbers using two-dimensional distribution of random surfaces, adjustable both variance, correlation length and other parameters
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
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.
twoGuass
- 通过二维高斯分布密度函数的模型的搭建，调用模型即可得到结果-By building the model of the density function of the Gauss distribution, the model can be obtained.
EMAlgorithm
- 运用EM算法生成任意条件下的二维高斯分布-Using the EM algorithm to generate a two-dimensional Gaussian distribution in any condition
MHAlgorithm
- 运用Metropolis-Hasting算法生成任意的二维高斯分布-Use Metropolis-Hasting algorithm to generate an arbitrary two-dimensional Gaussian distribution
hualiubianxing
- 六边形节点部署，节点以六边形中心为中心服从二维高斯分布-Hexagonal node deployment, the center node hexagonal two-dimensional Gaussian distribution centered obey