搜索资源列表
MixtureEM.tar
- This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification . JAVA 写的估计复合高斯模型中的参数 -This code is to estimate the parameter of model of Jian Gauss which is popular model used in pattern cla
gnmlast
- gauss network model方法研究蛋白质折叠的程序,可用来分析蛋白质功能性运动(不好意思,由于疏忽前面上传的是不完整的)-Gauss method network model protein folding process can be used to analyze protein functional Movement (sorry, due to negligence of the previous upload is incomplete)
hyplas
- ************************************************************************ * * * * * THIS IS THE H Y P L A S 2.0 README FILE * * ----------------- * * * * HYPLAS is a finite element program for implicit small and large * * strain analisys of hyperelast
gnm
- Gauss network model方法研究蛋白质运动模式的程序,可以用来分析蛋白质功能性运动-Gauss method network model protein movement patterns of procedures can be used to analyze protein functional movement
mRBF
- 高斯网络的非线性动态系统直接逆模型辨识,为一并联结构-The Gauss network non-linear dynamic system direct counter model identification, is a parallel structure
Gauss-Poissson
- gauss-poisson分布建模与反析,与参数估计,并进行仿真模拟-gauss-poisson distribution model and anti-analysis, and parameter estimation, and the simulation
mixture-Gauss-model-EM-matlab
- EM算法计算混合高斯模型,可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
Eight-empresses
- 八皇后问题是一个古老而著名的问题,是回溯算法的典型例题。该问题是十九世纪著名的数学家高斯1850年提出:在8X8格的国际象棋上摆放八个皇后,使其不能互相攻击,即任意两个皇后都不能处于同一行、同一列或同一斜线上,问有多少种摆法。-Eight the empress problems are old but famous a thou problems, is the typical model example that returns to trace calculate way.The pro
gaussmodel
- 这是一篇分析了几类非高斯噪音模型的文章,对每种模型都进行了细致的分析-This is an analysis of several kinds of non Gauss noise model of the article, for each model are analyzed in detail
ode4way
- 神经元HH模型,带高斯白噪声,4阶龙格库塔-Neuron HH model, with Gauss white noise, 4 order Runge Kutta
gauss-legendre-quadrature
- this is source code for estimation markov switchin model.
gauss
- 运用高斯模型,对手掌检测,自己写的程序,仅供参考,可以运行-Gaussian model is the use of palm detection, and write their own procedures for reference only, you can run
Gauss---Seidel-iterative-method
- 高斯-赛德尔迭代法,一种有效的迭代算法,可用于模型求解-Gauss- Seidel iterative method, an efficient iterative algorithm can be used to solve the model
hmt4_kim
- 用GAUSS软件运行卡尔曼滤波模型,算法是哈密尔顿-Kalman filtering software to run with GAUSS model, the algorithm is Hamilton
work
- 主要完成的是目标的检测与跟踪,分别包括高斯模型检测与meanshift跟踪,实现了很多中方法,包括调试。-The main goal is to complete the detection and tracking, including the Gauss model detection and meanshift tracking, to achieve a lot of methods, including debugging.
GMM_EM
- GMM算法是混合高斯模型,其求解过程需要不断迭代,本程序利用EM算法进行了仿真实现,可以加深对GMM的理解。(GMM algorithm is a hybrid Gauss model, and its solution process needs iteration. This program uses EM algorithm for simulation, which can deepen the understanding of GMM.)
GMM_EM
- 混合高斯模型的参数计算方法,采用EM迭代的方法求得(Parameter calculation method of mixed Gauss model)
KrigingToolbox
- 基于MATLAB编写的简单克里金模型工具箱,高斯模型与球形模型(The toolbox simple Kriging model based on the MATLAB, Gauss model and spherical model)
Kdistribution
- 基于球不变随机过程法,使用复合高斯模型来产生K分布杂波数据的matlab仿真程序 (为了不低于上传文件的大小要求传了两份一样的,编程就几句话实在弄不大)(A matalab simulation program for producing K distribution clutter data, which used compound Gauss model, and is based on spherically invariant random vector method)
卡尔曼滤波算法经典
- 卡尔曼滤波是贝叶斯滤波的一种特例,是在线性滤波的前提下,以最小均方误差为最佳准则的。估计线性高斯模型,是对线性模型和高斯分布的优化方法。(Kalman filtering is a special case of Bayesian filtering, which takes the minimum mean square error as the best criterion on the premise of linear filtering. Estimating linear Gauss