approximation

It is related to image processing

无刷直流电机控制系统仿真模型，matlab/simlink(simulation model of BLDCM with matlab/simulink)

这个程序实现了MPEG2的视频压缩，用于Internet上视频流的处理（IP流还没有实现），程序的注释相对比较少，所以可能比较难理解些。下载后请先看说明。(This program implements MPEG2 video compression, video streaming for the Internet, the processing (IP flow has not yet achieved), program notes relatively small, it may be more difficult to understand something. Please read download instructions.)

matlab在几何分形图中的应用，对初学分形课的同学有很大帮助(matlab in the geometry of fractal images, fractal lessons for beginners of great help to students)

控制工具箱与SIMULINK软件应用：系统对象为G(s)=4/s(s+2) PI补偿器K1(s)=(s+1)/s K2(s)=(s+0.5)/s a 若由K1(s)与 G(s)串联组成的单位反馈系统，称为系统A。 b 若由K1(s) 放置在G(s)的反馈通道称为系统B。 c 若由K2(s)与G(s)串联组成的单位称为系统C，绘制上述每一种情况的阶跃响应与斜坡响应，求每一种情况下的系统阶跃响应误差与斜坡响应误差，并与理论分析结果进行比较。 (Control toolbox and SIMULINK software application: system object for G (s) = 4/s (s+ 2) PI compensator K1 (s) = (s+ 1)/s K2 (s) = (s+ 0.5)/s If a by K1 (s) and G (s) series of feedback system of the unit, known as a system a. B if the K1 (s) placed in G (s) feedback channel called system b. If c by K2 (s) and G (s) series of unit is called system c, draw the above each kind of condition of step response and slope response, for each of these cases system step response error and slope response error, and the results were compared with theoretical analysis.)

包括了振动分析常用的matlab函数功能，适合于机器状态监控人员分析(Includes vibration analysis matlab function commonly used features, suitable for machine condition monitoring analysis)

PHD谐波分解，大家可以尝试下，希望对大家有所帮助(PHD harmonic decomposition, we can try, we hope to help)

说明：  GA遗传算法介绍，系统的介绍了GA的由来和方法，并对其应用进行了介绍(GA introduce)

提出了一种新的算法结构,通过建立“局部环境因数”模型,利用集中式处理模式,动态 分配全局勘探和局部开采子种群比例,有效地实现分工目的,平衡算法的局部和全局搜索能力。将其 应用到两个不同类型的实际工程约束优化问题中进行验证,并与其他文献的改进算法进行了对比。 实验结果表明,该算法比其他改进算法在计算精度、效率、鲁棒性上都有很大的提高(Anewalgorithmarchitecturewasproposed. Inorder to adjust effectively the ratioof exploration subgroup versusexploitationone, the algorithmadopted the centralizedprocessingtechnique toconstruct the local environment factor, andbalancedthe local andglobal searchcapabilitiesof the algorithm. Furthermore, comparedwithother improvedintelligent algorithms, experimental results got from the application and verification of real constrained engineering design problem indicate that the algorithmperformsbetter intermsof accuracy, efficiencyandrobustness)

说明：  一个SVD-QR合作节点选择算法为基础的虚拟MIMO的WSN -源码(An SVD-QR cooperative node selection algorithm based virtual MIMO in WSN- source)