wind-turbine-MPPT

很详细的matlab通信系统ofdm的仿真，包括每个模块的仿真和说明(Very detailed matlab ofdm communication system simulation, including each module of the simulation and instructions)

CA-CFAR单元平均恒虚警算法在杂波边缘环境下的性能(The performance of CA-CFAR under clutter edge environment)

该压缩包中包含的程序均在MATLAB下开发，从功能上分为两类。第一类名字中包含SVC的程序，主要用来对两类数据进行分类，并可以生成分类结果图。第二类名字中包含SVR的程序，主要用来对高维数据集进行预测，并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。(The archive contains the MATLAB program are under development, from the functions are divided into two categories. The first category name contains the SVC process, mainly two types of data used to classify and to generate classification result. The second category contains the name of the SVR procedures, mainly used for high-dimensional data sets to predict and can generate predictions map. The application can be a good solution in SVM classification and forecasting problems.)

无限混合模型的非监督学习算法的例程和MATLAB代码(It s a set of MATLAB m-files implementing the mixture fitting algorithm.It consists of a main MATLAB function and three auxiliary functions.)

koch曲线 koch曲线 koch曲线 koch曲线(koch snow koch snow koch snow)

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 4） 根据2）中的公式，并利用3）中产生的S(n)，在1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法， LMS法时H(n)的在叠代过程中的轨迹曲线。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对 应S(n)的某一次的一次实现）和e(n)波形；某一次实现的结果并不能从统计的角度反映实验的结果的正确性，为得到具有统计特性的实验结果，可用足够多次的实验结果的平均值作为实验的结果。用MATLAB计算并画出LMS法时J(n)的100次实验结果的平均值随时间n的变化曲线。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)

提供多种函数来计算perform uncertainty and sensitivity analysis，并用散点图和柱状图来显示计算结果。(We implemented many scripts and functions to perform uncertainty and sensitivity analysis (for PRCC and eFAST) and display scatter plots (for sample-based methods only). The scripts are written in Matlab7.1. The Statistical Toolbox is required to run them. The HIV ODE model is used as a template to illustrate the functions.)

组合预测方法中用于计算组合方法权重的程序，是使用拉格朗日计算各单一方法的权重。(Combination forecasting method is used to calculate the weights of the combination method of program, is used to calculate the weight of a single method of Lagrange.)

文件包括：1.计算平均最短路径；2.计算每个顶点相邻节点的平均度；3.计算每个节点的邻近中心度；4.计算节点的介数（slow）；5.计算节点的介数（faster）；6.计算每条边的介数值；7.快速迪杰斯特拉算法；8.经典迪杰斯特拉算法。(1.the average shortest path in the graph 2.the average degree of neighboring nodes for every vertex 3.computes the closeness centrality for all vertices 4.node betweenness, (number of shortest paths definition) 5.a faster node betweenness algorithm 6.edge betweenness, (number of shortest paths definition) 7.simple Dijkstra, does not remember the path 8.Dijkstra which also returns the shortest paths.)

matlab图形处理功能的总结。对matlab处理图形时涉及的各种绘图方法进行了系统总结 (The function of Image processing )