资源列表
SMCMIMO
- The scope of this SCM simulator is to provide an easy-to-use, GUI supported, MATLAB developed application to any user who requires a practical tool to perform MIMO simulations and to obtain statistical data.
Papers-on-BFA
- 细菌觅食算法的相关论文和资料，都是PDF文件，适合初学该算法人员学习-Bacterial foraging algorithm related papers and information are PDF files, suitable for beginners to learn the algorithm
TicketPrinting
- 2016学生准考证打印软件主要使用RDLC报表制作，其中使用到了，分栏打印，动态加载外部照片，动态生成条形码等技术-2016 students quasi ticket printing software mainly use RDLC statements are made, which use to and print columns, dynamic loading of external photos and dynamically generates a bar code, and s
Signals_and_Communication_Technology
- In this book, the reader is introduced to the theory and practice of digital signal processing. Much time is spent acquainting the reader with the mathematics and the insights necessary to master this subject. The mathematics is presented as prec
msc1210-cn
- MSC 1210高性能单片机 技术人员必备手册-MSC 1210 high-performance single chip necessary technical manual
System
- 实现对餐厅顾客开台、点菜/加菜、账目查询和结账等操作。 对用户输入的数据，进行严格的数据检验，尽可能的避免人为错误。 实现对消费账目自动结算。 实现对消费的历史记录进行查询，支持模糊查询。 系统应最大限度地实现易维护性和易操作性。- system adopts the way of human-computer interaction, interface, beautiful and friendly, and information inquiry flexi
LabView
- 学习LABVIEW入门的好资料.对初学者很有帮助.-Introduction to the Study LABVIEW better information. Very helpful for beginners.
proteus_Atmega8
- 有关Atmega8的protues的仿真部分，除前言外共六部分： 1.基本IO的学习Led部分； 2.基本IO：按键部分； 3.外部中断； 4.定时，计数器； 5.串口通信； 6.IIC通信。 我是老杨，该文档的作者，这份文档是在学习单片机的时候写的，没有把计划写的写完，但这是当时写的最全的一份了。
Italy
- 这是最原始的传奇源代码,意大利泄露版,极具参考价值.-This is the most primitive of the legendary source code leaked version Italy, great reference value.
Yinda
- 列车运行计算里面应答器设置源代码，已经调试成功-The trains run calculation inside the transponder set of source code, debugging has been successful
weblogicserver8.1_new
- 该文档介绍了weblogicserver 8.1的新特征，图文并茂，从多个角度较全面的介绍了其新版本所带来的性能优越性
AnExperimentalComparisonofMin-CutMax-FlowAlgorithm
- The goal of this paper is to provide an experimental comparison of the efficiency ofmin-cut/max flow algorithms for applications in vision