MOPSO-master

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)

BP neural code the backpropagation algorithm nwueal implementation in matlab, the code for training element wise

不错的pidfuzzy基于matlab仿真的一段程序 是刚开始学习控制类课程的好材料 可以好好地参考一下哦(Matlab simulation of a program is just beginning to learn to control courses materials can have a good reference )

system_LPC11xx.c配置的中文注释，对初学者学习pll有帮助。(The system_LPC11xx.c configuration of Chinese notes, for beginners to learn PLL help.)

The “INVERTED PENDULUM, ANALYSIS, DESIGN AND IMPLEMENTATION” is a collection of MATLAB functions and scripts, and SIMULINK models, useful for analyzing Inverted Pendulum System and designing Control System for it.

hi this is a important

这是matlab中的一个例子，请注意下载(This is the one example, attention is drawn to download)

MATLAB语言实现的模糊控制，参数可调，被控对象输入方式有传函、零极点、状态空间。是对被控对象的软计算。(MATLAB language of fuzzy control, adjustable parameters, was charged with the importation of the way the target transfer function, zero-pole placement, state-space. The object of soft computing.)

说明：  matlab中最短路问题的算法，就是求从网格的起点到终点的长度（总权）最小的通路。 附注释(the shortest path problem in matlab algorithms, is seeking a starting point from the grid to the end of the length of (total) of the smallest channels. Annotated)

通过matlab编程仿真实现不同SNR下检测概率的比较(The comparison of the detection probability under different SNR)