Matlab-Code

用matlab编写的HDB3码 对于初学信息论编码的同学很有益处(HDB3 code matlab prepared students for the the beginner information theory coding helpful)

说明：  直流无刷电机带霍尔传感器双闭环的MATLAB仿真，(MATLAB simulation of double closed-loop DC brushless motor)

gd power system 1-22

简单电力系统的牛顿法潮流计算收敛初步分析程序(preliminary study a simple system’s convergent character of the Newton s law applied to calculate the flow.)

说明：  matlab使用基础,MATLAB数据可视化显示与图形处理,MATLAB数值分析(use Matlab based MATLAB data visualization display and graphics processing, numerical analysis of MATLAB)

说明：  智能优化算法： 粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。 程序来自：Brian Birge NCSU(intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divided into hidden layer, a hidden layer, hidden layer. DemoTrainPSO.m can run. Proceedings from : Brian Birge NCSU)

用MATLAB GUI工具搭建的电机上位机程序。包括串口功能模块，转速在线画图模块和位置在线画图模块，非常适用于电机调速过程的调试和演示工作。(The host motor control program using MATLAB GUI tools is built.Including the serial port function module, speed online plotting module and position online plotting module which is applicable for debugging and demonstration during the motor control project.)

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)

矩阵运算matlab源程序，希望对有用着提供帮助(Matrix matlab source, hope to useful help)

matlab simulnik NAkagami仿真代码(matlab NAkagam simulnik)