程序

说明：  本書完整的說明與充分的網路支援，可以使讀者能充分地掌握MATLAB的脈動，擁有解決工程問題的最佳利器,21-29章(A complete description of the book and the full network support, will enable readers to fully grasp the pulse of MATLAB, has to solve engineering problems in the best weapon ,21-29 s)

对数字信道容量进行迭代运算，计算在信道容量情况下，最佳的传输概率(On the digital channel capacity for iterative calculation was under the channel capacity, the best transmission probability)

对任意概率的输入，实现2元HUFFMAN编码的MATLAB(The probability of any input to achieve two yuan HUFFMAN coding the MATLAB)

对海杂波的仿真，考虑了相控阵雷达威力范围、随着距离增大而引起的强度衰减、杂波类型、对海杂波的抑制等多个方面，对雷达总体设计人员有一定的帮助，值得学习和借鉴。(simulate sea clutter with consideration of many aspects, such as sphere of action of PAR radar, strength attenuation resulted from extending range, type of clutter and inhibition of sea clutter)

先进PID控制例程，配套先进pID控制图书(Advanced PID control routines, supporting advanced control pID Books)

PSO, Particle swarm Optimization Code

求解系统幅频特性,求解相频特性，求解根轨迹，具有直观的用户界面，功能强大，操作简单。主程序为lab03.m和lab031.m(Solve the system amplitude frequency characteristics, solution phase frequency characteristics, solving root locus, with intuitive user interface, powerful, simple operation. The main program for lab03. M and lab031. M)

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Simulink的内插器的高效FIR多相结构实现仿真(Efficient FIR interpolator multiphase structure to realize the simulation based on Simulink)

说明：  对最小相位系统的性能研究以及DMC的仿真实例。(The simulation study of the performance of the system and the minimum phase of DMC.)