Mathematical-analysis

gabor filter implementation in matlab

模式识别中有关特征提取的那部分（链码），还有灰度特征。(Feature extraction in pattern recognition, that part of the (chain code), and gray feature.)

内含巴特沃思滤波器（Butterworth）MATLAB代码，分高通与低通两种情况，并用mesh显示滤波器的三维图(Containing Butterworth filter (Butterworth) MATLAB code, sub-high-pass and low pass both cases, with mesh filter of three-dimensional map display)

本程序基于visual C++ 实现标准正态分布，正态分布累积函数，正态分布累积函数的逆函数分别输出到不同表，是仿真实验的很好参考！(This procedure based on visual C++ Achieve the standard normal distribution, the cumulative distribution function, the cumulative distribution function of the inverse function of the respective output to a different form, is a good reference simulation!)

Anky_Glass Only for cubic model (odd) clear clc load Glass3D_25cube_0p75A.mat (Anky Glasses)

plz give the matlab code

水平集分割算法，matlab实现。自动初始化方形轮廓线。分割后自对图像上分离的目标进行计数。(Level set segmentation algorithm, implemented by matlab. Automatic initialization square contour. )

说明：  在二维平面内生成随机点并构造二维Voronoi图(Construction of 2D Voronoi diagram with random points)

MATLAB粗糙集属性约简库（内含实例，原创） 函数M文件： TargetOptFcn.m ------------ 遗传算法的目标函数 PositiveRegion.m --------- 计算正域 LowerApproximation.m ------ 计算下近似 IsSub.m ------------------- 判断集合A是否是集合B的子集 EquivalentClassSet.m ----- 基于R分类的所有等价类的集合，即U/R EleEquivalentSet.m ------- 计算包含某元素的一个分类 DependencyDegree.m -------- 计算依赖度 (MATLAB rough set attribute reduction library (including examples, original) The function M file: TargetOptFcn.m---------------- The objective function of genetic algorithm PositiveRegion.m-------------- Computing positive region LowerApproximation.m---------- Calculation of approximation IsSub.m----------------------- Judgment if set A is a subset of the set B EquivalentClassSet.m---------- A collection of all the equivalence classes based on R classification, U/R EleEquivalentSet.m------------ Calculation contains an assortment of an element DependencyDegree.m------------ Dependence computation)

This program contains the explicit descriptions of load forecasting by the Mathworks web site and is very complete. the users can easily apply their own data to it and use the methods to forecast Load and price.