C# 权限管理

C语言与MATLAB接口编程实例,作为C和MATLAB的联合使用，可以使数据处理变得简单易用，可以作为广大C语言程序人员的参考书籍(C language and MATLAB interface programming examples, as the joint use of C and MATLAB, you can make data processing simple to use, the majority of C language program can be used as reference books for staff)

第一个参数设定助力功能允许与否，1为允许，0为禁止 第二个参数设定助力力量(PWM占空比),数值范围：0~0x355，数值越大，力量越大 第三个参数设定助力时间，数值越大，时间越长 (The first parameter set boost feature allows it or not, one to allow, 0 to disable the second parameter set booster power (PWM duty cycle), value range: 0 ~ 0x355, the greater the value, the greater the force the third parameter setting booster time, the greater the value, the longer)

stm32实现MODBUS-MODBUS做主站

lorawanMAC层协议，lorawan官方协议，vscode代码(LorawanMAC layer protocol, official protocol)

实例截图 核心代码

多种数字调制方法bpsk,fsk等 的MATLAB仿真代码(MATLAB：bpsk,fsk)

matlab_主成分,模式识别，用与主特征提取(principle compoment analysis)

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

keil c51 开发安装包 新唐51内核插件(Keil C51 Development and Installation Package Xintang 51 Kernel Plug-in)

在ns3中实现了LoRaWAN模块，对学习研究非常有帮助。