FM

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)

信号与系统相关的MATLAB习题，希望对大家有用。。(some relative solutions to the questions of MATLAB)

实现数字水印提取 变换 分数级数变换压缩(watermark)

说明：  Matlab与C#混合编程的实现 实现matlab和c#混合编程的多种方法(matlab C# mixure coding)

This is about viterbi algorithm

说明：  RLS和Capon波束形成程序， Capon给定SNR和INR (RLS AND CAPON BEAMFORMING )

MFSK不同进制下，在不同采样率不同EB/NO时的误码率分析(MFSK under different band, different at different sampling rates EB/NO when the error rate analysis)

这是一个有关于遗传算法用于参数优化源码的例子(It is a genetic algorithm is used to optimize the parameters of the source code examples)

this is file for traffic networks benchmarks...

本书适合不同阶段的MATLAB学习者，包括矩阵的计算，图形的绘制和建模，对广大CAGD爱好者很有帮助(Book is suitable for learners at different stages of MATLAB, including matrix calculations, graphics rendering and modeling, useful for the majority of fans CAGD)