Electromagnetic

MUSIC(Multiple Signal Classification)算法是Schmidt在1979年首先提出的，是早期经典的超分辨率DOA估计方法(即超瑞利限的方法)，属特征结构的子空间方法。(MUSIC (Multiple Signal Classification) algorithm is Schmidt first proposed in 1979, is an early classic super-resolution DOA estimation methods (ie, super-Rayleigh limit of the method), is a characteristic structure of the sub-space method.)

背景帧差法的最简单Matlab源代码，对初学者有很大的启发(Background frame difference Matlab source code for the most simple, a great inspiration for beginners)

分别训练出草莓的属性，然后在两幅图中分别识别出草莓(Strawberries were trained Properties, and then were identified in the two figures strawberries)

这是一个在电磁场和电磁波方面 比较好用的一个小程序 如果你不知道 各个结构的相互关系 这个 你就需要(This is a relatively easy to use in terms of the electromagnetic field and the electromagnetic wave is a small program if you do not know the relationship between the various structures that you need)

Bjarne Stroustrup的课后练习 1. Stroustrup, Chapter 17, Questions 11 and 13, Page 624–625. 2. Stroustrup, Chapter 19, Question 4, Page 709.(1. Stroustrup, Chapter 17, Questions 11 and 13, Page 624–625. 2. Stroustrup, Chapter 19, Question 4, Page 709.)

说明：  H无穷控制，使得控制状态对干扰的2范数比最优,应用于非线性控制，还有绘图程序(H infinity control, so that the control state 2 norm than optimal nonlinear control applied to the disturbance, and drawing program)

Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter 介绍了一种基于四元数粒子滤波的方法(Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter presents a quaternion-based particle filter method)

TSP问题的人工蚁群算法中，假设m只蚂蚁在图的相邻节点间移动，从而协作异步地得到问题的解。每只蚂蚁的一步转移概率由图中的每条边上的两类参数决定：1、信息素质，也称信息素痕迹。2、可见度，即先验值。(Artificial ant colony algorithm TSP problem, assume that m ants move between adjacent nodes in the graph, which asynchronously collaborate get problem solution. Each ant transition probability is determined by the figure of two kinds of parameters for each edge: 1, the quality of information, also called pheromone trails. 2, visibility, ie priors.)

很好的MATLAB学习资料，简单易懂，希望对大家有所帮助，！(good works！)

Monte carlo simulation