用VC实现WEB界面,显示互联网网页,本质是对一个函数的调用,是VC和互联网程序联系起来的入门程序...

VC中采用HTML实现可配置输入界面的模拟测试通信程序，是我自己做的，已投入使用-VC used HTML configurable input interface simulation testing communication procedures, I do for myself, has been put into use

记录出行路线，并提供一个电子罗盘，指示行进方向，运行在PocketPC环境下-record travel routes, and to provide an electronic compass, the direction of the road instructions, the PocketPC operating environment

Jitter is extremely important in systems using PLL-based clock drivers. The effects of jitter range from not having any effect on system operation to rendering the system completely non-functional. This application note provides the reader with a clear understanding of jitter in high-speed systems. It introduces the reader to various kinds of jitter in high-speed systems, their causes and their effects, and methods of reducing jitter. This application note will concentrate on jitter in PLL-based frequency synthesizers.

OPNET仿真实例，有助于初学者的快速学习。-OPNET simulations help beginners learn fast.

The best selling USB book for writing usb for embedded devices

这是一份介绍SIP协议的PPT，详细介绍了SIP协议，可以帮助SIP开发人员理解SIP协议各个消息中的头域，以及应用流程。-this is a point for the sip, it introduces the protocol of sip, it can help for programer for understanding the part

这个项目远程发送短信被设计为发送短信到期望的位置，而不monitoring.An霍尼韦尔传感器被CONECT到数字万用表用于收集由传感器万用表是CONECT到计算机用的rs232 conecter其中数据将特定的电压被存储用于处理和如果湿度将改变然后使用GSM / GPRS调制解调器CONECT也java的短信客户端类是从internet.with某些修饰的主类是下载的计算机的短信将被发送到所希望的手机形式实现，并且这CLAS被用来封装存储在计算机中的数据，并将其发送成功地。

现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统 计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于 l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。-Existing digital signal automatic modulation recognition methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90.

符合初学者学习TCP服务器的源码。

librerias iec 870-5-101 con demo