one_possion1

解常微分方程的Matlab程序 字符串ypfun是用以表示f(t, y)的M文件名, tspan=[t0, tfinal]表示自变量初值t0和终值tf y0表示初值向量y0，可选参数options为用odeset设置精度等参数。 输出列向量tout表示节点，输出矩阵yout 表示数值解，每一列对应y的一个分量。若无输出参数，则作出图形。(Solution of ordinary differential equations of the Matlab program is used to indicate ypfun string f (t, y) M-file name, tspan = [t0, tfinal] said that since the variable t0 initial and final values of tf y0, said initial vector y0 , optional parameters to set options for the use of odeset accuracy and other parameters. The output column vector tout that node, the output matrix yout that of numerical analysis, each column corresponds to y of a component. If there are no output parameters, then make a graph.)

对kalman滤波进行了描述，并对其应用举例说明(Kalman filter for a description and examples of its application)

采用猫映射图像加密，有二维三维到四维。都是已经在matlab运行通过的(Cat mapping using image encryption, there are two-dimensional to three-dimensional four-dimensional)

循 环 相 关 谱检 测 法 的 检 测性 能 优 于循环 相 关 谱 系 数 检 测法,但 循环 相 关 谱检 测法 的 性 能 受 噪 声 功 率 估 计 误 差 影 响 大,而 循环 相 关 谱 系 数 检 测 法 不 需 要 已 知 噪 声 功 率,实 用性 更 强(Circular correlation spectrum inspection measurement method of inspection measurement can be optimal in cyclic correlation spectrum coefficient measuring method, but closed loop phase spectrum detection method of measuring performance is affected by the noise power estimation error is large, and cyclic correlation spectrum coefficient test don t need to noise power ratio is known, use sex is stronger)

经典的基本PSO粒子群优化算法的测试函数，包括主程序和测试函数，非常经典(The classic PSO basic particle swarm optimization test functions, including the main program and test functions, very classic)

Feature Extraction code using in image processing.

说明：  改进遗传算法程序，用来优化参数的选择，很好用的方法(GA)

该程序是生成一个符合泊松均匀分布的WSNs的Matlab程序，可以修改参数，得到不同的网络拓扑！！(The program is to generate a Poisson evenly distributed WSNs Matlab program can modify the parameters of different network topologies! !)

matlab熵，联合熵和互信息的程序，亲自测试过(entropy,mutual information entropy,good matlab code,play enjoy)

simulink 学习教程 适合初学者的好教程 分享给大家(simulink tutorial for beginners learning a good tutorial for everyone to share)