dcpwm1

运动估计块匹配算法 以下是工程中m文件的简单注释： main.m 可通过主函数调用各种基本的块匹配算法 FullSearch.m 全搜索法（又称为Exhaustive Search） ThreeStepSearch.m 三步搜索法（Three Step Search） NewTSS.m 新三步搜索法（New Three Step Search Algorithm） SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS） FourSS.m 四步搜索法（Four Step Search） DS.m 菱形搜索法（Diamond Search） ARPS.m 自适应路径搜索法（Adaptive Root Pattern Search） costFuncMAD.m 绝对误差均值函数 minCost.m 宏块间代价最小块 motionComp.m 图像重建 imgPSNR.m 计算图像的PSNR值(Block matching motion estimation algorithm The following is a simple project m file comments: main.m calls through the main function of basic block matching algorithm FullSearch.m full search method (also known as the Exhaustive Search) ThreeStepSearch.m three-step search method (Three Step Search) NewTSS.m new three-step search method (New Three Step Search Algorithm) SESTSS.m simple and efficient three-step search method (Simple And Efficient TSS) FourSS.m four-step search method (Four Step Search) DS. m diamond search method (Diamond Search) ARPS.m adaptive path search method (Adaptive Root Pattern Search) costFuncMAD.m mean absolute error between the cost of the function minCost.m macroblock most small motionComp.m calculated image reconstruction imgPSNR.m image PSNR value)

由sp3精密星历，得到关于GPS接收机的精确位置(get the exact position of the GPS receiver)

说明：  应用双种群蚁群算法解决TSP问题，计算速度快，准确率高(Application of ant colony algorithm to solve TSP double population problem, computational speed, high accuracy)

synchrouniouse machine simulation

这个是以fuzzy特征为例采用HMM方法进行分类的程序，里面用到的一些子函数都可以在HMM Toolbox里面找到(This is a classification code using HMM and taking fuzzy as example.the subfunctions in it can be find in the HMM toolbox.)

基于simulink 框架的QPSK调制与解调(QPSK modulation and demodulation based on Simulink framework)

说明：  ADALINE的字符识别，有图形界面。可以方便使用并了解ADALINE的LMS算法(ADALINE Character Recognition, a graphical interface. Easy to use and understand ADALINE LMS algorithm)

这是一个关于基于互信息的图像配准程序，是以matlab编写(This is a mutual information based image registration procedures, the preparation is matlab)

通过Matlab，实现NEGAⅡ，对于多目标优化，并对研究问题SCH，进行了相关实验，效果不错，可以通过增加种群数、个体长度、以及迭代次数，来提高解的质量(The Matlab, the NEGA II, for the multi-objective optimization, and research questions SCH, the relevant experiments, good results, by increasing the number of population, individual length, and number of iterations to improve the quality of the solution)

读取地震数据并画图显示，其中可以判断是工作站格式还是微机格式(Read seismic data and drawing display, which can be judged workstation format or computer format)