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matlab实例分析一个Matlab实现的实分析程序(real analysis)

说明：  应用Matlab设计图形用户界面的框架结构和设置其控件属性。(Application of Matlab graphical user interface design framework for the structure and set its control property.)

说明：  用启发式SPT规则求解混合流水车间调度方案(Solving Hybrid Flow Shop Scheduling Scheme with Heuristic SPT Rules)

matlab7.0的ppt教材，教授一些基本且常用的命令，帮助初学者掌握matlab的使用。(matlab7.0 the ppt textbooks, professors, some of the basic and commonly used commands, helping beginners to master the use of matlab.)

matlab用切比雪夫设计滤波器,并且分为两种不同类型设计方法(matlab using Chebyshev design of filters, and divided into two different types of design methods)

新型改进光双二进制传输的编解码方案 提出了改进型光双二进制信号在高速率(≥10Gbit／s)传输时预编码的一种新方案。通过分析编解码过 程，证明该信号传输时不易受码间干扰影响，能用二进制强度调制一直接检测的系统接收信号。仿真产生了该信 号的2种码型。结果表明，采用色散补偿技术能使MD NRZ和MD．RZ信号在长距离传输后克服眼图失真，MD-RZ 信号比MD．NRZ信号在传输后有更低的误码率。(Abstract：Anovel pre-coding schemeformodified optical duobinary signalswasproposed．It couldbe applied to缸ansmit high speed data mte signals(≥ 10Gbit／s)．Through analyzing the process of coding and decoding，It Was demonstrated thatmodified opticalduobinary sign alshave capabilityin reductionofpulse—to-pulseinteraction ， and couldbe di． recaymeasured through aconventionalbinaryintensitymodulationdirectdetection(IM—DD)receiver．Twomodified optical duobinary sign als’formats were simulated to generate．Sim ulation results show that MD．NRZ and MD-RZ signals’ formats Can avoid the eye diagrams’distortion for long—distance transmission，if the dispersion Can be compe nsated in each amplifier span．Moreover,theMD-RZ signalhaslowerBER than theIVID-NRZ signal afterlong-distance comm．unication．)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

说明：  这是一个很好用的跳频通信系统的matlab仿真的资料，对于不会的同学很有效。simulink的设计电路方法很简单，(This is a very good use of frequency hopping communication system of MATLAB simulation data, for students will not be very effective. The circuit design method of Simulink is very simple)

着是一个MATLAB中的图形合并的程序，也有不完善的地方，请指教！(with MATLAB is a graphic merger procedures have imperfections, please enlighten! Thank you)

本人编写的各种matlab最优化程序代码，其中包含了yZvFLJ问题最优化，无约束一维极值问题，牛顿法基本牛顿法，全局牛顿法，割线法，抛物线法，DekjQSF法 Wolfe.Powell法，Powell法。 (I prepared a variety of optimization matlab code, which contains yZvFLJ problem optimization, Unconstrained one dimensional extremum problem, Newton s method basic Newton method, global Newton method, secant method, parabolic law, DekjQSF law Wolfe.Powell law , Powell method. )