一个基于2194的外部中断程序，可以好好的

移动电话频率选择开关，对于手机信号接收与发射有很重要的作用-Mobile Phone Frequency Selection Switche

摘要 TCP 软件一般位于操作系统的核心，这种情况给TCP 的研究和调试带来了很大的困难。 在Sun Solaris 平台上，我们使用系统提供的DLPI 接口和有关多线程的系统调用，构建了一 个TCP 调试系统，简化了调试过程。 关键字 TCP，调试系统，DLPI，多线程-Abstract TCP software at the core of the operating system. This situation TCP research and testing has led to great difficulties. Sun Solaris platform, We use the system to provide the interface and the TCP multithreaded system calls, built a TCP debugging system, simplifies the debugging process. Keywords TCP, debugging system, Solaris, multithreading

USB设计需要的资料，包括：MINI USB接口尺寸封装，USB_debuger程序，usb定义。-USB-required information, including: MINI USB interface size packaging, USB_debuger program, usb definitions.

cdma协议介绍，对开发人员很有帮助，介绍得比较全面。-Introduction cdma agreement, the developer helpful introduce a much more comprehensive.

一个用c编的RS编码的程序，采用BERLEKAMP-MASSEY S 算法，输入m,以及信噪比，可得到生成多项式和误码率等。-with a series of RS coding procedures, using BERLEKAMP- MASSEY S algorithm input m, and the signal-to-noise ratio. available generating polynomial and the error rate.

支持ZModem, Telnet功能的串口通讯程序 -Serial communication supports ZModem and Telnet

GPS Manager是一个用于从各种GPS单元下载、组织、维护和更新GPS数据的GUI-GPS Manager for a GPS units from a variety of download, organize, maintain and update the GUI GPS data

QT Creator编写的串口通信代码。测试的串口打开，发送命令。另外采用QT Design 设计了简单的对话框。

应用背景主要是应用在电子射频、通讯等行业，例如采样中的数字本振信号、接收机的发射信号等等，还可以用做测试中做一个幅值可调的信号发生器，频率源等，为测试和设计带来很大的帮助关键技术数字信号发生器   DDS  频率可调 。运用MATLAB生成相关 的原 始数据，根据按键改 变频率 控制字，不断地累加，就可以实现频率可调。将生成的二进制代码发送给对应的DAc芯片的数据接口，通过给后端的模拟信号进行简单的硬件上的滤波，即可解决信号的高次谐波。

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.