matlab-gauss

求两幅多波段影像的相关系数，并且能实现影像的多波段读取(Seek more than two-band image of the correlation coefficient, and can realize multi-band image to read)

Skin Color Detection(Face Mask)

matlab应用程序实例1 matlab应用程序实例1(matlab)

Crank Nicholson program

MATLAB实用源代码和一些资料，感觉挺有用的(MATLAB practical source code and material)

这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。(This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file). Based on MATLAB Optimization Toolbox, the content code contains: Newton and other non-binding one-dimensional extremum problems, such as simplex search method for unconstrained multi-dimensional extremum problems, Rosen gradient projection method and other constrained optimization problems, LM non-linear law least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)

应用matlab对负责数学模型分析求解方法解析(Application the matlab responsible mathematical model analysis method for solving resolution)

在matlab中利用平方环实现QPSK信号的码元同步，可实现，效果较好。(Square ring QPSK signal symbol synchronization can be achieved in matlab better.)

MATLAB宝典(第3版)(含源码),对于想系统学习Matlab的童鞋很有用(A valuable book of MATLAB )

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)