资源列表
sar
- 基于R-D方程的SAR影像几何纠正，编程环境VS2010-SAR image RD equations based on the geometric correction, programming environment VS2010
ku
- 进出库管理系统易语言源码例程程序结合易语言扩展界面支持库和MySQL支持库实现进出库管理。 -Library management system easy language source code routines combined with easy language extensions interface support library and MySQL support library to achieve access to the library management.
copy
- 易语言取复制的编辑框内容源码例程程序演示了复制编辑框组件并取指定编辑框内容的方法。 -Easy language to extract the contents of the edit box source routine procedures to demonstrate a copy of the edit box components and take the contents of the specified edit box method.
shibie
- 易语言文字识别演示源码例程程序演示了文字笔画的识别思路。 -Easy language source code demo program demonstrates the idea of text strokes recognition.
ye
- 易语言Access多条件分页源码例程程序结合易语言扩展界面支持库，调用API函数实现Access数据库多条件分页显示记录。 -Easy language Access multi condition paging source routine procedures combined with easy language extensions interface support library, call the API function to achieve Access multi co
son
- 易语言正则取Json数据源码例程程序结合易语言正则表达式支持库和脚本语言支持组件取Json数据。 -Easy language to take regular Json data source routine procedures combined with easy language regular expressions to support the library and scr ipt language support component to take Json data.
tao
- 淘宝登录填表易语言源码例程程序结合易语言超文本浏览框实现淘宝安全控件登录填表。 -Taobao login form easy language source routine procedures combined with easy language hypertext browsing box to achieve Taobao security controls login form.
kmp
- 易语言KMP算法源码例程程序置入汇编代码实现KMP算法。 -Easy language KMP algorithm source code routines into assembly code to achieve KMP algorithm.
pulse-and-animal-heat-testing
- 基于51单片机的脉搏测量和体温测量，keil编程，proteus仿真。-Based on 51 single chip microcomputer s pulse and temperature measurement,keil programming and proteus simulation.
DSP-IN-FPGA
- 何宾所著的关于FPGA用于实现DSP的设计方法与原理，非常详细，对初学者帮助很大 -He Bin on the FPGA used to achieve the DSP design methods and principles, very detailed, great help for beginners
autoStart
- 一个用python写的启动器（将它设置开机启动 可以代替系统的开机启动） -Using python write a starter (set it to boot can replace the boot system)
apso
- The Accelerated Particle Swarm Optimization: For detail, section Chapter 5 (section 5.3) in the book by Xin-She Yang, Nature-Inspired Metaheuristic Algorithms, First Edition, Luniver Press, (2008). Also in Chapter 8 (section 8.3, pag