网吧计费管理系统，非常好用的客户端程序。大家下看看，提供数据库...

WINDOWS 串口编程 调试程序 第四部分-WINDOWS serial programming debugger Part IV

symbian中询问对话框生成的源代码 适合初学者使用。-symbian ask dialog box to generate the source code for beginners to use.

四方通信规约处理包括101 103 103 104 CDT DNP SC1801 CSC2000等

C#制作的即使通讯程序源代码-C# produced by the messaging program source code

这是XMODEM传输协议原代码,测试只能证明错误的存在，而不能表明程序中没有错误。 测试的两个作用是：确定程序中缺陷的存在；有助于判断该程序在实际上是否可用。 软件测试最困难的问题之一是知道何时停止测试(When to stop testing? ) 自己测试自己的程序是不可能的。 当一个软件被测出的缺陷数目增加时，更多的未被发现的缺陷存在的概率也随之增加。 -This XMODEM transfer protocol source code, the test can only be proved wrong there and not show anything wrong procedure. The two test role is : procedures for determining the existence of defects; Contribute to the judge whether the procedure can be used in practice. Software testing the most difficult one of the problems is to know when to stop testing (When to stop testing) testing their own procedures is not possible. When a software detected the increase in the number of defects, more undiscovered flaws in the probability has increased.

Hello these pdf file is an ebbok for simulation wireless communication

涉及Fax/Mail/Voice通讯编程的一个程序 -An example of Fax/Mail/Voice communication programming

qam的matlab程序。m文件，非simulink。各个模块比较全面，希望有所帮助-qam matlab

此程序为C#语言开发的TCP通信程序源码参考，包含服务端及客户端，新手适合

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier -ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but