Visual-CPP--self-study-manual17

RTCM3.0差分数据格式解码，将二进制的原始数据进行解码、转换为十进制的数据(RTCM3.0 differential data decoder)

IPE打包机，可以讲IP流的数据包打包成TS流数据包(IPE balers, you can speak IP flow data is packaged into a TS stream packet)

利用DirectShow实现视频压缩和传输(Using DirectShow achieve video compression and transmission)

我的毕业设计，一个简单的集聊天，文件传输于一体的vc源码，可选TCP或UDP传输模式！(My graduation project, a simple set chat, file transfer in one vc source, optional TCP or UDP transfer mode!)

利用散列函数和哈希表建立一个鞋业管理系统。实现添加货物、浏览货物、查找货物、修改货物、删除货物。并且在屏幕上输出相应结果。 本程序用Visual Basic 6.0编写，共分7个模块frmMain（主窗口模块）、frmNew（新建物品窗口模块）、frmuserlook（浏览数据窗口模块）、frmsearch（查找窗口模块）、frmamend（修改窗口模块）、frmdel（删除窗口模块）和all (数据声名模块)。实现添加货物、浏览货物、查找货物、修改货物、删除货物的功能。 (The use of hash function and hash table to establish a management system for the footwear industry. Add realize goods, browse the goods, to locate the goods, modify the goods, the deletion of the goods. And output on the screen corresponding results. This procedure prepared using Visual Basic 6.0, consists of seven module frmMain (main window module), frmNew (new items window module), frmuserlook (browser window data module), frmsearch (Find window module), frmamend (modified window module), frmdel (delete window module) and all (the data module name). Add realize goods, browse the goods, to locate the goods, modify the goods, cargo delete function.)

实现多项式的加法和减法 并且实现一个多项式的运算(Realize polynomial addition and subtraction and the realization of a polynomial operator)

dsp 抽样定理程序代码 A/D转换的基本过程和程序处理过程 (dsp sampling theorem code A/D conversion processing of the basic processes and procedures)

说明：  其具体功能介绍了h264，dvr，软解码，arm，c使用该文档(Its specific features introduced h264, dvr, soft decoding, arm, c the use of the document)

简易通讯录,vc+MFC ODBC+acess环境,非常简单易用,也是学习vc+MFC ODBC+acess设计的入门程(simple correspondence, vc MFC ODBC acess, very simple to use, also learning vc MFC ODBC acess-designed portal)

仁脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容(Ren-face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also a wide range of applications has more significance. Face recognition technology is a very active research field, which covers the digital image processing, pattern recognition, computer vision, neural networks, psychology, physiology, mathematics and many other disciplines content)