FEC

说明：  Viterbi算法源程序,注释简洁,利于使用(Viterbi algorithm source, concise notes, beneficial use)

matlab code for image segmenation

有N件物品和一个容量为V的背包。第i件物品的费用是c，价值是w。求解将哪些物品装入背包可使这些物品的费用总和不超过背包容量，且价值总和最大。(There are N items and a knapsack capacity of V' s. No. i is the cost of items c, the value of w. Solving items into the backpack which will enable the cost of these items does not exceed the sum of the capacity of backpack, and the sum of the maximum value.)

复合形优化算法的VC2005环境下的实现实例，是本人一次研究生期末作业，附带详细论文说明。(Optimization of complex environment to achieve VC2005 example, is a graduate student at the end of my work, with a detailed description papers.)

介绍Auto focus的文章，主要介绍了对焦技术，探测技术；包括频域分析、目标函数、目标函数效能验证、影像评估效能之因素、高斯低通滤波器参数的选取、自动对焦技术；以及相关实验结果与分析。(Introduction Auto focus of the article introduces the focus technology, detection technology including frequency domain analysis, the objective function, the objective function performance verification, image assessment of the effectiveness of the factors, Gaussian low-pass filter parameter selection, auto-focus technology and related experimental results and analysis.)

说明：  本程序用于对相机的标定，通过程序可以运算出相机的参数。对初学者有一定帮助(The procedure used for camera calibration, through the program can calculate the camera parameters. Certainly be of help for beginners)

menu bar 实现windows xp的样式(menu bar to achieve the style of windows xp)

说明：  一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(a MATLAB applications, a convenient! Use need to change for the M documents.)

Matlab和VC混合编程的实例，自己写的，包含基本的矩阵运算，Matlab定义的数据结构mwArray和c++的通讯，希望对初学者有帮助。 需要Matlab 6.5自带的C++数学函数库支持。(Matlab and VC examples of mixed programming, write, and contains the basic matrix operations, Matlab data structure defined mwArray and c++ communication, hope to help beginners. Requires Matlab 6.5 comes with C++ Math Library support.)

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)