EXIT

经典MUSIC测向算法的编程，对于初学者会很有用的。(a code of MATLAB for classical MUSIC algorithm, which is useful for new.)

说明：  里面包含两个matlab程序，分别是对除法和对开方算法（或者是电路工作原理）的模拟。压缩包里分别有这两个算法的详细描述，主要用于学习。(It contains two matlab programs, one for divide algorithm and the other for sqrt algorithm. The .rar file also include two instruction files for the two algorithms.)

deal with matlab source, matlab toolbox

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

基于罚函数法的粒子群算法，处理优化调度问题(Particle swarm optimization based on penalty function method to deal with optimal scheduling problem)

说明：  Matlab光学设计程序 给出了一种光学设计的程序,对光学薄膜设计的人很有用(Matlab source code for optical design)

Face detection using matlab

说明：  光流算法代码，实现对单运动目标，多运动目标的检测(optical flow code)

Matlab环境下 纽阶堡（Neugebauer）分色算法。(Matlab environment Neugebauer color separation algorithm.)

The matlab code is used to take the videos and extract all the frames from the video.