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zjf147
- 用来产生均匀分布或高斯分布的伪随机数 (近似白噪声),它们可具有不同的均值和方差。用REMEZ算法求交错点组。用Cholesky分解求ARMA模型的参数并作谱估计。求MA模型的参数 并估计功率谱。 用最小方差法估计序列 的功率谱。-used to produce uniform or Gaussian distribution of the pseudo-random number (similar to white noise). T
canny
- canny边缘检测算子的c源代码 一维高斯分布函数,用于平滑函数中生成的高斯滤波系数 ,用高斯滤波器平滑原图像 -canny edge detection operator c source code for one-dimensional Gaussian distribution function for the smooth function of the Gaussian filter coefficients gen
gn
- 产生符合均匀分布、高斯分布、指数分布、泊松分布,伽玛分布等的随机数-Produced in line with the uniform distribution, Gaussian distribution, exponential distribution, Poisson distribution, gamma distribution of the random number
chaonim
- 仿真函数 (1),函数形式为: 其中, 是零均值单位方差的高斯噪声。输入 服从[0,1] 均匀分布,且相互独立。样本长度为1000组,将其分为三组,自由选择200组作为模型训练数据,自由选择100组作为检验数据,其余的作为长期检验数据。 (2) 其中x1~x4相互独立, , 为白噪声 -Simulation function (1), function of the form: which is th
matlabdesigning1
- 产生一均匀分布的白噪声信产生均匀分布的白噪信号,使均值为0,功率为p号u(n),画出其波形,并检验其分布情况,产生零均值功率0.1且服从高斯分布的白噪声,sinc信号,chirp信号,线性卷积-Generate uniformly distributed one letter of the white noise generated uniformly distributed white noise signal, so that th
gaussgradient
- 本算法是基于高斯分布的梯度边缘检测法,采用MATLAB实现-The algorithm is based on the Gaussian distribution of the gradient edge detection method, the use of MATLAB to achieve
code
- 视频运动物体检测,采用混合高斯分布建立背景模型及差分方法对背景模型进行更新-Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
NoiseGenerator
- 本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声,椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise
EM
- EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计-Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
Expectation-Maximization
- 混合高斯分布中基于最大期望算法的参数估计模型,适应于通信与信号处理以及统计学领域-Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the
mixture_of_gaussians
- 这是一个视频图像处理的程序,通过混合高斯分布来建立背景模型,并且提取了运动目标,效果不错!-mixture of gaussians
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
xiaobo
- .首先,建 立背景的混合高斯分布模型和阴影颜色模型,通过差分法提取前景区域并结合Gabor小 波纹理特征分析找出潜在的阴影点;然后通过阴影颜色模型对这些潜在的阴影点进行颜 色分析;最后通过后续处理,找出真正的阴影区域-. First of all, to establish the background Gaussian mixture distribution model and the shadow color mode
emcenter
- 我写的改进中心点的混合高斯分布的EM算法-I wrote to improve the center of the EM algorithm for Gaussian mixture
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
clutter
- 雷达杂波仿真程序,仿真雷达瑞利分布、高斯分布、K分布等(Radar clutter simulation program, simulation radar, Rayleigh distribution, Gauss distribution, K distribution, etc.)
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法(MCEM)的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
定点热源-循环编程求解的高斯光斑
- 分析激光打孔温度场-高斯分布,定点热源-循环编程求解的高斯光斑(Analysis of temperature field in laser drilling - gaussian distribution, solved by the fixed point heat source - cycle of gaussian light spot)
How_to_generate_AWGN_noise
- 关于高斯白噪声系数生成,以及所需服从高斯分布的伪随机序列的相关文档,对于产生高斯白噪声的过程详细给出,希望对你的学习有所帮助(About Gauss white noise coefficient generation, as well as the need to obey the Gauss distribution pseudo random sequence of relevant documents, for the prod
Gaussian
- 假设图像服从高斯分布时,通过计算交叉熵,计算两幅图像的差异图像。(Change detection based on Gaussian distribution)