无刷新访问服务器Lostinet.Janc.rar,我保存的经典代码

STM32 F0系列 The STM32F0xx Standard Peripherals Library is a complete package, consisting of device drivers for all of the standard device peripherals, for STM32F0xx  devices 32-bit Flash microcontrollers. This library is a firmware package which contains a collection of routines, data structures and macros covering the features of STM32F0xx peripherals. It includes a description of the device drivers plus a set of examples for each peripheral. The firmware library allows any device to be used in the user application without the need for in-depth study of each peripheral’s specifications. Using the Standard Peripherals Library has two advantages: it saves significant time that would otherwise be spent in coding, while simultaneously reducing application development and integration costs. 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

AVR中SPI的实现，用CVAVR编写。()

两个51单片机实现通信，一片单片机传送光照温度信息给另一单片机，然后显示(将中文译成英语 Two 51 MCU communication, a single chip temperature information transmitted light to another microcontroller, and then display 朗读显示对应的拉丁字符的拼音)

说明：  stm32单片机通过AD转化输出模拟电压值，并显示在串口调试助手上(The analog voltage value of STM32 MCU is converted by AD and displayed on the debugging assistant of serial port.)

MSCOM插件，串口通信使用的插件，微软自带注册，c++,串口编程需要，MFC插件

C语言游戏——五子棋，文中详细描述了五子棋游戏的设计规则，如何操作，而且有注释，可以简单明了的看懂操作(C language games- backgammon, backgammon paper describes in detail the design rules of the game, how to operate, and there are notes, you can understand straightforward operation)

在机器学习中，随机森林是一个包含多个决策树的分类器， 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林（random decision forests）而来的。这个方法则是结合 Breimans 的 "Bootstrap aggregating" 想法和 Ho 的"random subspace method"以建造决策树的集合.

快速傅里叶变换的C实现，采用新的倒序算法，程序代码只有一百多行，就要以实现千个采样点的计算(Fast Fourier Transform of C realized, the introduction of a new reverse algorithm, program code, only more than 100 lines, it is necessary to achieve the 1000 sampling points calculation)

几个大牛对集成了国内外特征提取最前沿的算法，特征提取，DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符，SIFT,AFFINE-SIFT,GLOH.经测试，速度快，描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction： DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER； Descriptors： SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)

任务管理器源代码,界面模仿windows下自己的任务管理器，需要的同学可以看看(Task Manager source code)