它能够把MATLAB的应用程序直接转变成Windows COM组件。MATLAB COM BUILDER给用户提供了另外一种代码重用以及程序发布的方式，它使得M...

资源描述 蓝牙CC2540单片机初学者代码，ADC，uart，中断、定时器、以及各种实验代码，条理清晰，思路严谨,是初学者最好的入门参考

C++ Builder 编的采用API函数多串口通讯源码,系本人在开发门禁控制器管理软件时曾编过的,希望对有这方面的要求的朋友有帮助-C++ Builder made the adoption of multi-function serial communications API source code, the Department of I in the development of Access Controller management software had been made, and they hope to have this requirement has to help a friend

微软亚洲研究院论文：无线Internet中媒体代理的放置策略-Microsoft Asia Research Institute Papers : Wireless Internet media strategy for the placement agent

g723语音压缩格式。里面包含了最新的说明文档和代码，可以使用VC来编译。对视频会议或者作VOIP的朋友很有帮助。-voice compression format. The latest of which contains the documentation and code can be used to compile VC. Right for video conferencing or VOIP helpful friends.

基于stm32开发平台的can总线通信，文件里有发送和接收源代码，适合学习stm32和can总线通信的朋友参考

Description for comparison CDMA multiuser

从国外找到的通信程序的DELPHI源代码3,是MODBUS的喔,DELPHI的这类例子可不多见.给大家学习-from abroad to find the communication procedures of Delphi source code three is the MODBUS Oh, Delphi examples of this kind can be rare. Learning to everyone

关于ＩＳＡＧ网关相关的协议文档，该规范为电信的综合接入网关协议-ISAG gateway on the agreement related documents, the specification for the Telecom Integrated Access Gateway Protocol

串口控件编程，使用mscomm控件，串口控件有别于文件流方法，易学易懂，但是必须安装这个控件。-Serial control programming, using mscomm control, serial control is different from the file stream method, easy to learn and easy to understand, but must install the controls.

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.