chipKIT_Uno32_bysa

this is about edge detection, explaining the matlab implementation as a lecture

matlab的Simulink仿真实例，原版英文资料，比较基础。(Matlab Simulink simulation instance, the original information in English, the basis for comparison.)

用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较，并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)

三自由度直齿轮动力学方程求解，希望对初学者有所帮助。( Dynamic equation of three-DOF gear, hope it is helpful for beginners.)

说明：  在学习优化算法的过程中，为快速了解算法求解过程，整理出这两个算法。通过蚁群算法和萤火虫算法对测试函数进行求解，以图片的形式展示算法迭代过程中蚂蚁或萤火虫的移动过程，了解算法特点。相对而言蚁群算法更快，但不一定能找到最优解。(By learning the optimization algorithm, the two algorithms are sorted out. The ant colony algorithm and the firefly algorithm are used to solve the test function. The moving process of the ant or firefly in the iterative process of the algorithm is shown in the form of pictures. To understand the characteristics of the algorithm, the ant colony algorithm is relatively faster, but it is not necessarily able to find the optimal solution.)

//////// OFDMA //////////// No. of Subcarriers NS = 512 Input Generation x = rand(1,NS)>0.5 fftlength = 512

说明：   用最速下降法求最优化解 输入：f为函数名 grad为梯度函数 x0为解的初值 TolX,TolFun分别为变量和函数的误差阈值 dist0为初始步长 MaxIter为最大迭代次数 输出: xo为取最小值的点 fo为最小的函数值 f0 = f(x(0))( Steepest Descent Method with Optimum Solution input: f as a function name grad is gradient function x0 for the solution of the initial TolX, TolFun variables and functions were error threshold dist0 as the initial step MaxIter maximum Diego passage number Output: xo to take the minimum point of fo is the smallest function value f0 = f (x (0)))

Conventional Optimal Power Flow Analysis Using the Matlab Optimization Toolbox

背景差分建模运动目标检测和跟踪，附有一个实验视频，点开就跑(Background subtraction modeling moving object detection and tracking, with an experimental video, opening and ran.)

一个双线性滤波器的设计，用MAtlab编的 (A bilinear filter design, Matlab series)