《C++程序设计教程》电子教案

c专家编程.pdf 超越C++标准库：Boost库导引.chm 自动化C++程序设计.pdf 学习c++必备资料！-expert c programming. pdf than C++ standard library: Boost Treasury guidance. chm automated C++ programming. pdf studying c++ required information!

从面向对象系统发现设计模式的方法-from Object-Oriented System Design Patterns found ways

开利机组通讯接口资料。希望对大家有用。 开利机组通讯接口资料。希望对大家有用。-Carrier data communication interface unit. Hope useful for everyone. Carrier data communication interface unit. Hope useful for everyone.

《Asp.net服务器控件与组件开发》电子版，本书详细介绍了Web Forms编程模型，对.net框架组件和控件编程进行了概述。-"ASP.NET server controls and components development of the" electronic version, The book details the Web Forms programming model, right. net framework components and control program were outlined.

LINUX内核源代码分析-Linux kernel source code analysis

它的关于传输线分析，解释清楚大约高频率的元素，关于晶体振荡器，对高频电阻，思路清晰电容器。这本书有助于为实际的应用程序执行。因为许多应用程序来自射频环境下是广泛有用的。

谭浩强经典的cobol书籍，对于很难找到比较好资料的cobol学习者来说是很宝贵的。-Hao strong COBOL classic books, for it is difficult to find better information COBOL learners is very valuable.

C语言大全(第四版)，全面讲解了C语言的各个方面，包括C语言的最新规范，通俗易懂！-C Language Solutions (fourth), a comprehensive account of C language in all its aspects, including the C language to the latest norms, accessibly!

We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking

可以了解mfc的编程内幕，深入mfc框架-can understand mfc Programming Insider, in-depth framework mfc