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BuildingRobustSimulation-basedFiltersforEvolvingDa
- The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are requi
LU
- 用MATLAB写的Gaussian Elimination算法即LU算法
twobeamsimulator
- This program simulates the interference pattern of two Gaussian beams.
gaussian
- 一个高斯滤波器的滴递推实现，可以实现无限脉冲响应
fromirangaborfilter
- 基于纹理分析的图像分割用滤波实现，需要先输入参数。％The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes
gcrf_demo
- This MATLAB code is an example of how to train the GCRF model described in \"Learning Gaussian Conditional Random Fields for Low-Level Vision\" by M.F. Tappen, C. Liu, E.H. Adelson, and W.T. Freeman in CVPR 2007. If you use this code in your re
adaptive_anisotropic_2D_gaussian_filter
- Gaussian filtering in one, two or three dimensions is among the most commonly needed tasks in signal and image processing. Finite impulse response filters in the time domain with Gaussian masks are easy to implement in either floating or fixe
Jacobi
- 2． Using Gaussian elimination method and Gaussian elimination method with row scaled method to solve the following tri-diagonal system for n=10 and 100
gauss.c
- Using Gaussian elimination to solve linear equations.
gauss2.c
- Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any size. This is done by treating // the name of a 2-dimensional array as pointer to the beginning of the // array. This makes use of the fact that ar
gmmMatlab
- gaussian mixture modelling in matlab
code
- 一个遗传算法 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择
rjGaussian
- gaussian algorithm for Bayesian Model Selection
DoGfilters
- DoG(Difference of Gaussian)滤波算子，主要用于边缘特征提取，用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差，针对方差设计可以对不同的图像特征情况下有不同的表现。
em_gm
- EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。
高斯平滑
- 高斯平滑,在readme.txt里有详细的使用说明-Gaussian smoothing the readme.txt are detailed usage
gas
- 高斯消去解方程组c-Gaussian Elimination Solution equation c
数值计算
- 定步长辛普森公式计算.二分法.列主高斯消去法.龙贝格.牛顿迭代法.弦截法.逐次超松弛迭代法.-fixed step Simpson formula. Dichotomy. Main-Gaussian Elimination Act. Romberg. Newton iteration. Xianjie law. Successive Over-Relaxation iterative method.
高斯消去法
- 大学里数学系必学的一们课程数值分析中的经典算法————高斯消去法，在矩阵理论和线形代数及运筹学中有极高的重要性-University's Department of Mathematics will study the courses have a numerical analysis of the classical algorithm-Gaussian elimination method, the matrix theory and linear algebra and tacti
gs
- 高斯消去法求解线性方程组，以在TC2.0中编译通过-Gaussian elimination method for solving linear equations, in which the compiler through WITH TC 2.0