blurMetric

简单演示了VC-Matlab混合编程的一种方法。(Simple demonstration of the VC-Matlab mixed programming methods.)

Find edges of a color image

mathworks公司开发的GPS工具箱,有一定参考价值,但需要进一步完善(MathWorks developed GPS toolbox, must have reference value, but necessary to further improve the)

This is for histogram equalization

Matlab动态仿真在混沌控制与同步中的应用研究 摘 要:针对在分析非线性系统混沌行为时较为复杂这一问题,采用一般的数值计算方法,提出了利用Mat2 lab对混沌系统进行建模和动态仿真的方法.以蔡电路和洛伦兹系统为例,分析了其动态仿真在混沌控制与 同步中的应用(Dynamic simulation in Matlab Chaos Control and Synchronization of the Applied Research Abstract: In view of the analysis of chaotic behavior of nonlinear systems when the more complex the problem, using a general numerical method is proposed for chaotic systems using Mat2lab modeling and dynamic simulation method. to Cai circuit and Lorenz system as an example, an analysis of the dynamic simulation in the Chaos Control and Synchronization Application)

说明：  Matlab关于FFT算法的编程及原理详细讲解！(Matlab programming on the FFT algorithm and principle explained in detail!)

计算Lyapunov的程序，网上下载的原版，同之前的差不多(Calculate the Lyapunov procedures, download the original, with the previous almost)

Spectral compressive sensing toolbox 是一种有效的解决Compressed sensing问题的工具。(Spectral compressive sensing toolbox is an effective method for Compressed sensing problem.)

北航强度大作业,包括两道题，代码、程序都是做好的，请放心使用(The Beihang intensity operations, including two title, code and procedures do a good job, ease of use)

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)