搜索资源列表
IRLS
- 实现了机器学习中的logistic regression 算法,可以对三类高斯分布的采样进行分类-Achieved in the logistic regression machine learning algorithm, can be three types of Gaussian distribution of samples to classify
-MUL_estimators-
- 本算法包括最大似然估计,最小二乘估计,基于EM算法的多种混合高斯分布估计,EM算法测试实例,绘制每种分布的plot函数。非常有参考价值! - A Collection of Fitting Functions A collection of fitting functions for various Distributions. The provided files are an excellent source for EM based Matlab work.
Advanced_C
- 随机数分布--高斯分布 100个经典源程序-random number
VC
- 使用c语言产生均匀分布,高斯分布随机数的方法,使用VC为图片进行添加高斯噪声均匀噪声以及椒盐噪声,并且采用a修正的均值滤波和自适应中值滤波进行除噪-Used to produce uniform distribution of c language, method of Gaussian random numbers, use the VC to add a picture uniform noise, Gaussian noise and salt and pepper noise, and
Estimate_Y
- 神经网络 高斯分布 最大后验估计 最大似然估计-Neural network Gaussian maximum a posteriori estimate maximum likelihood estimate
gg_mle
- 广义高斯概率分布函数的指数估计,包括矩估计和最大似然估计,并对这两种估计进行了比较-exponential cosfficients estimation for generalized Gaussian pdf,include moment estimator and Maximum Likehood estimator.
Gibbs
- MCMC(马尔科夫链蒙特卡洛)中对于高斯分布的Gibbs采样算法-MCMC Gibbs Sampler
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
Matlab_Sim_Code_MLE
- 无线传感器节点定位算法,对高斯分布和对数模型采用CRBs和MLEs估计器对TOA和RSSI算法进行仿真。-Wireless sensor node localization algorithms, on the Gaussian distribution and logarithmic model CRBs and MLEs estimator for TOA and RSSI algorithm simulation.
ban
- 经典算法, 用来表示 高斯分布随机数源代码 -Classical algorithms, used to denote Gaussian random number source code
G
- 实现了一个产生符合高斯分布的随机数发生器,并用最大似然估计法估算其方差及均值-Produced in line with the realization of a Gaussian distribution of the random number generator, and the maximum likelihood estimation method to estimate their variance and mean
houghlinedetect
- hough 变换实现直线检测 在噪声服从高斯分布的背景中构造信噪比为2、长度为34像素的目标线段;在找出线段所在直线后,在采用固定长线段滑动的方法,确定线段的起始点,最终确定线段的确切位置。-hough transform line detection in the noise to obey Gaussian distribution of the background-noise ratio for the structure 2, with a length of 34 pix
Gussion
- 根据均值和方差来生成任意数量的高斯分布的随机数-According to the mean and variance to generate any number of Gaussian distribution of random numbers
suijiguocheng
- 这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian proces
image
- 应用matlab或VC语言编制图像处理软件,软件功能如下: 一、实验类型 1. 读入图像,并对灰度图像或彩色图像进行显示,对彩色图像可以转化为灰度图像;(8学时) 2. 对读入的图像可以实现减小和提高图像分辨率的功能(16学时) 3. 计算灰度图像的直方图并进行显示,讨论不同图像灰度分布的直方图特征(16学时) 4. 对上述图像进行直方图均衡化处理,分析直方图均衡化的处理结果;(16学时) 5. 对给定的彩色图像,显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成
Digitalsimulationtechnology
- 数字仿真技包括对均匀随机数进行性能检验的各种方法的检验,高斯分布的随机序列-Technology, including digital simulation of uniform random numbers to test the performance of the test methods, Gaussian distribution of random sequence
music
- MUSIC算法的仿真及性能分析:信源数N=3,分别来自于 =-10度, =0度, =10度;信源为相互独立幅度相同的信号;噪声为服从高斯分布的独立噪声;均匀等距直线阵,阵元数为8,波长 ;-MUSIC algorithm for the simulation and performance analysis
OptimumThrsholding
- 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
generation_gaussian_randomvariables
- 高斯分布的随机数序列 用十二求和法和BoxMuller方法得到-generation of gaussian random variables sum-of-12 method Box-muller Method
boxmuller
- 采用BoxMuller方法生成的高斯分布的随机数序列-Boxmuller Gaussian random varialbe