DTFT-in-Matlab

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.)

matlab经典算法的程序 最速下降梯度法matlab程序(classical algorithm matlab procedure steepest descent gradient method matlab program)

利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。(The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript.)

DISTEU Function DISTEU Pairwise Euclidean distances between columns of two matrices Input: x, y: Two matrices whose each column is an a vector data. Output: d: Element d(i,j) will be the Euclidean distance between two column vectors X(:,i) and Y(:,j) Note: The Euclidean distance D between two vectors X and Y is: D = sum((x-y).^2).^0.5

Variable Neiborhood PSO Algorithm

一种基于马尔科夫随机场的图像分割matlab源码，包含ICM迭代条件模式求解最大后验概率算法，已通过测试。(Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.)

关于matlab的基本函数的教程,非常适合于初学者,好资料大家一起分享(on the basic function of the guides, very suitable for beginners, good information to share with everyone)

关于蒙特卡洛法进行计算面积的，根据随机投点所得到的频率反推概率来求得面积。很好用的一种思维方法(About the Monte Carlo method to calculate the area, according to the random frequency of investment points to get the probability to obtain the inverse area. A good way of thinking with)

NFC NDEF Arduino source and example

适合初级学习MatLab的用户使用,讲解的比较清晰,很适合于学习(suitable for the initial study MatLab users, on the clear, well suited to learning)