机器人示教器

大致思路说说，就是在外部SRAM里面做了一个大数组[320][240]做了一帧缓冲，所有屏幕相关操作都是在这一帧上面实现的，使用DMA直接丢数据到FSMC接口上，比I/O快多了，然后就是资源的去背问题，所有的图片都是我从手机版上面截图下来的，然后背景色都是0X4DF9，然后因为jpg转换软件的关系，蓝色的背景色会有偏差所以直接判断把0x4df9不显示不可行，后来想到可以用RGB颜色来入手，虽然不是0x4df9但是还是蓝色，所以蓝色分量肯定比红色多，所以做了一个阈值判断(Roughly speaking, a large array [320] [240] is made in the external SRAM to do a frame buffer. All screen-related operations are implemented on this frame. Using DMA to drop data directly to the FSMC interface is much faster than I/O. Then it is the problem of resource backtracking. All the pictures are taken from the top of the mobile version, and then the background color is 0X4DF9. Later, because of the relationship between JPG conversion software, the blue background color will be biased, so it is not feasible to directly judge that 0x4df9 is not displayed. Later, I thought that RGB color can be used to start with. Although it is not 0x4df9, it is still blue, so the blue component must be more than red, so I made a threshold judgment, and then it is the transition between scene and scene.)

基于K-SVD字典学习程序,自适应学习字典(Dictionary learning program based on K-SVD)

说明：  从动轮式滚行_步行复合机器人原理与动力学性能研究.pdf(_ Line follower roller wheel robot walk composite theory and dynamic performance. Pdf)

自动查询虚龄和实龄，输入年月日后自动显示(Automatic query virtual age and chronological age, automatic display date input)

说明：  KiCAD KiFields for libraries.

说明：  寄存器设计文件，寄存器输入输出以及读写控制，寄存器的配置(Register design and read-write control)

利用RSS进行室内定位仿真实验在RSS指纹数据库中抽取离线数据集；利用抽取出来的数据集作为KNN算法的训练数据集；(RSS is used for indoor positioning simulation experiments to extract offline data sets from RSS fingerprint database, and the extracted data sets are used as training data sets of KNN algorithm.)

说明：  CLX Diagram You can always use conversion functions to register a conversion unit. There are times, however, when this requires you to create an unnecessarily large number of functions that all do essentially the same thing.

Microsoft扫雷游戏的一个VB实现-A bomb finder game written in VB running under Microsoft.

VF上课使用的ppt课件，内容较全，欢迎下载使用，哈哈。(VF ppt Courseware)