资源列表
WL013
- PC - MCU 串行通迅程序 * * 单片机接收主机的数据,然后将数据传送到P0口, 并传回给主机 * * 当按下AN1时, 单片机发送字串"welcome! www.willar.com \n\r" * * 给主机.-PC- MCU Serial communication procedures** Singlechip receiving host data, and then data to P0 mouth, and returns to the host AN1** Wh
WL012
- 计数器实验 * * 定时器1工作于16位计数模式，记录外部脉冲的个数； * * 定时器0工作于定时模式，用于进行动态扫描显示 * * * * 此程序可用按键AN4来演示，但是由于按键有抖动现象，所以每按一次* * 有可能产生多次计数脉冲 * *-Timer 1 Counter** Experimental work on 16 count mode, recording the number of external pulse ** Timer 0 in the regu
hash
- There are several problems related to the properties of the triangular mesh representation that describes a surface of an object. Sometimes, the surface is represented just as a set of triangles without any other information and the STL file
AUTOCADhongluzhi
- AUTOCAD中不具有宏录制功能，呵呵下载后安装就有了。有问题请联系-AUTOCAD do not have the macro recording capabilities,呵呵had installed after downloading. There are problems please contact
vba
- 大量CAD中VBA练习程序，盼望和大家交流-A large number of CAD in practice VBA procedures, and we look forward to sharing
EXCEL2CAD
- 这是一个将EXCEL内文本转换成AUTOCAD中文本的程序，可以转置。能够设定文本间距文本高度文本起点等。试试看，你会得到更多。适合CAD绘图人员和电气设计人员使用-This is an EXCEL within the text will be converted into AUTOCAD Chinese version of the procedure, you can transpose. Can set the text spacing text of a high starting p
SVM_SteveGunn
- 支持向量机的分类和回归算法,可用于模式识别和预测-Support vector machine classification and regression algorithms can be used for pattern recognition and prediction
GAbp
- 遗传神经网络的模式识别算法,可以用于设备的故障诊断-Genetic neural network pattern recognition algorithm, can be used for equipment fault diagnosis
beta3_trial4
- 图书管理系统，功能比较完善，编译成功-Library management system, functions fairly complete, the compiler successfully
BookShop
- 网上书店，包括在线浏览搜索用户管理等多个功能-Online bookstores, including online search features user management, etc.
climatefortranprogramm
- 该程序用fortran语言编写，可进行滑动平均，突变检验，周期诊断等-The procedure used fortran language, may be moving average, mutation testing, diagnosis, such as cycle
OFDM-PAPR-SLM
- OFDM系统中低峰均功率比的SLM算法 对初学者很有帮助-OFDM system with low PAPR of the SLM algorithm useful for beginners