一本介绍gnu二进制工具的手册，包括ar nm objcopy objdump addr2line等等的详尽介绍。

matlab6.x 信号处理 清华大学出版社-matlab6.x signal processing Tsinghua University Press

Game programmers, check out the only book on data structures written especially for you! Described in layman s terms, this book will explain all of the essential data structures that are used in video game programming. It will also go over some of the more advanced and specialized data structures, too. Data Structures for Game Programmers is written in C++, and any special skills required to understand the book will be explained within it. The CD will include source code of the book, compiled demo s of the source, graphical demo code, plus tools such as Visual C++ 5, SDL, STLPort, Paint Shop Pro, and an SDL Primer by Ernest Pazera.

这是关与讲DSP(数字信号处理)原理的好书-relations with the DSP (digital signal processing) tenets of good books

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The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding: Context-based Adaptive Binary Arithmetic Coding (CABAC) and Variable-Length Coding (VLC). The Variable-Length Coding scheme, part of the Baseline Profile of H.264, is described in this document.

《Win2000维护和管理》-"Win2000 maintenance and management"

清华大学版编译原理课件,如果你正在学习编译的话，建议看看。-Qinghua University Courseware Edition compiler theory, if you are learning the compiler, look at the recommendations.

基于uClinux触摸屏的设计-UClinux-based touch-screen design

这是一个博士写的一本好书,关于Linux系统的源码分析的,对研究Linux系统和学习操作系统的朋友,有很大的帮助!-Dr. written a very good book on the Linux source code analysis for the research and learning Linux operating system friends, a great help!

A*（A-Star)算法是一种静态路网中求解最短路最有效的方法。 公式表示为： f(n)=g(n)+h(n), 其中f(n) 是节点n从初始点到目标点的估价函数， g(n) 是在状态空间中从初始节点到n节点的实际代价， h(n)是从n到目标节点最佳路径的估计代价。 -A* (A-Star) algorithm is a static network shortest path in solving the most effective way. Formula is expressed as: f (n) = g (n)+ H (n), in which f (n) is a node n from the initial point to the target point of the valuation function, g (n) in state space from the initial node to node n of the actual cost, h (n) from n to the target node of the estimated cost of the best path.