这是osip官方网站上下载源代码，exosip2。很有帮助…

使用Com口、Modem进行通讯的控件，自己做的。-I use Com, Modem communications for the controls themselves do.

can总线通信DELPHI源程序。用于编写can通信协议，以及测试can总线。-can bus communication DELPHI source. Can prepare for the communication protocol and can test bus.

Mobile平台下GPRS上网连接方式，包括CMNET和CMWAP！-Mobile Platform GPRS Internet connection, including CMNet and CMWAP!

用vc编的短消息收发，小巧实用，欢迎大家查看。注明：是用mfc遍的。-with vc series of the Short Message transceiver, a small and practical, welcoming everyone to see. Annotated : is the mfc times.

文件中包括的随机数发生器，将 Alist 矩阵转换成一般矩阵，做的 enc 部分。此 enc 方法只侧重于下三角矩阵，它可以变得更容易得到 enc 消息。希望此文件可以帮助您很多有关如何进行编码与低三角奇偶校验矩阵的 LDPC 码。我也写一个 matlab 文件来检测代码 c 是正确还是不。

短信中心的mo和网关源码,对短信方面的开发会有所帮助-Message center and gateway mo-source, the message area of the development will be helpful

微软亚洲研究院论文：基于对象组播中可扩展视频流的打包和自适应数率控制机制-Microsoft Asia Research Institute Papers : Object-based Multicast scalable video streaming package and the adaptive rate control mechanism few

一个不错的jakes模型仿真,是老外写的,取自一书-Jakes a good model simulation, is written by a foreigner, from

使用 PIC BASIC PRO 中的 SERIN2 和 SEROUT2 的串行接口。 它是在 Proteus 软件模拟的。 液晶屏上显示的信息，按照串行数据 (3 位) 的步进电机开 它是为三个电机设计。

呼叫阻塞率的计算和仿真：在时间轴上考虑。无论阻塞与否，下一呼叫到达时刻为当前呼叫到达时刻加上服从参数为1/λ的指数分布的呼叫间隔时间。一个呼叫到达时只需要判断呼叫的到达时刻和各个信道服务完成时刻的先后：如果前者比后者中任意一个大，说明至少有一个信道服务完成时刻比此呼叫到达时刻早，即此信道空闲，此时呼叫成功，应该先把此信道下一个服务完成时刻置为当前呼叫到达时刻，再加上服从参数为μ的指数分布的服务时间；反之，如果前者比后者中全部都小，说明所有信道在此呼叫到达后才会结束服务，即当前忙，此呼叫被阻塞掉了-call blocking probability calculation and simulation : the time frame to consider. Whether or not blocked, the next call arrived at the present moment to call time arrived with a subordinate parameters/ index distribution of the call interval. A call arrived only judgment call and the arrival time each channel service has completed a moment : If the former than the latter an arbitrary, and at least one channel is completed service calls than this moment arrived moments earlier, that this channel is idle, call this success, should first get here Channel a moment of complete services for the current call home arrival time, coupled with the parameters obey the exponential distribution services; Conversely, if the former than the latter, all