ucos-c

这是一本介绍OpenGL入门的书，著名的NEHE教程，中文的。OpenGL开发包是最接近图形硬件底层的，很多大型游戏使用它进行开发。(This is an introduction the OpenGL entry-book, famous NEHE tutorials. OpenGL development package is closest to the graphics hardware underlying a lot of the big game to use it for development.)

一个vc编的图像处理的程序，处理不同颜色图像(a series of image processing procedures for handling images in different colors)

动态规划多弹飞行路经规划与协同制导方法程序(Dynamic Programming Shells flight path planning methods and cooperative guidance program)

matlab的模式识别工具箱箱，非常有助于开发可直接使用。 (Matlab pattern recognition toolbox box, very helpful in the development can be used directly.)

huffman 编码 完陈对指定的文本文件内容进行huffman编码 实现输出(END CHAN huffman encoding text file on the specified content encoding huffman implementation output)

飞思卡尔单片机xs128AD模数转换代码(Freescale microcontroller xs128AD of analog-to-digital conversion code)

Ansi To Ascii and Ascii to Ansi converter

Fractional knapsack problem, Greedy algorithm

本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。(This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book)

An Improved Genetic & Ant Colony Optimization Algorithm and Its Applications(An Improved Genetic & Ant Colony Optimization Algorithm and Its Applications)