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采用Matlab工具箱函数建立神经网络，对一些基本的神经网络参数进行了说明，深入了解参考Matlab帮助文档。 (Using Matlab toolbox functions to establish neural networks, some of the basic neural network parameters are described to understand the reference to Matlab help documentation.)

使用k均值算法对多个数据集进行分类，已测试通过，简单易懂(classification to many datasets using k-means algorithm ,simple and easy-understanding.)

说明：  这个程序主要的功能是实现了基于特征空间法的静态最小二乘恒模算法的方向图(This program is the main function realization based on feature space method static least-squares constant modulus algorithm direction map)

analyze data association algorithms (Nearest Neighbour and JCBB) in SLAM. Data association is basically a combinatorial optimization problem whose goal is to find the “best” set of associations between the observations and predictions according to a particular criterion (e.g. individual compatibility). Form this point of view, near- est neighbour (NN, a.k.a. ML) is simply a “greedy” algorithm in which the “compatibility” of individual associations with each other is not examined. On the contrary, JCBB, by considering both the individual and joint compatibility, is able to yield much better results. JCBB uses the branch and bound technique in order to prune the search tree

利用wolfe算法，编写了wolfe程序模块。测试数据引用《最优化方法及其Matlab程序设计》(马昌凤编)的Armijo准则搜索例题(Use wolfe algorithm, written wolfe program modules. Test data reference " optimization methods and Matlab programming" (Ma Changfeng ed.) The search criteria examples Armijo)

使用matlab求解方程的小资料，简单易用。(Solving equations using matlab small information, easy to use.)

Implementation of the extended Euclidean algorithm for polynomials over GF(2^m

given metodites stoc

Morphologic filters in matlab.

动态矩阵预测控制DMC的matlab程序，多输入多输出的。(Dynamic Matrix Control DMC matlab program, multi-input multi-output.)