Genetic-Algorithm-ToolBox

关于MATLAB的经典书籍，对初学者作用较大。(Classic books on MATLAB for beginners larger role.)

说明：  本论文介绍了“平均相关”方法和“块累加”方法，可以用于弱信号的捕获。(This thesis proposes the methods of "Averaging correlation"and "Block addition"for weak signal acquisition.)

Hopfield neural network

在Matlab中编写了有向图算法的调用函数(The calling function of directed graph algorithm is written in Matlab)

连续投影算法是一种简单，快速选取特征变量选择方法，可用于光谱分析等。(Continuous projection algorithm is a simple, fast selection of feature variable selection method, can be used for spectral analysis.)

可以用来求复合半导体能带随着偏压的变化情况，可以考虑到interface charges(Can be used for compound semiconductor energy band changes with the bias, you can take into account the interface charges)

Salesman Problem - Genetic Algorithm matlab code

it s a camera calibration code written with matlab, and it s very useful for visual manipulation.

text extraction using canny

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)