yundongcontrol

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

Simulation DS-SS Rake Receiver

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This code is calculating K-means in matlab programming.

用matlab画矩形排样图。【WL数组中第一列至第四列分别为：矩形长、矩形宽、矩形左下角横坐标、矩形左下角纵坐标】(Matlab to draw rectangles layout diagram. 【 probably in the first column to the fourth column in the array are: rectangular rectangular long, wide, abscissa rectangular corner, rectangular corner ordinate 】)

电力系统暂态稳定程序，可以进行暂态稳定计算,用平面波展开法计算二维声子晶体带隙,用MATLAB实现动态聚类或迭代自组织数据分析。( Power System Transient Stability Program, can be transient stability, Computation Method D phononic bandgap plane wave, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)

说明：  假设每个延时单元延时10ms.被传输的基带信号x(t)是一个0，1交替变换的矩形二进制脉冲序列，脉宽为10ms，并假设x(t)通过一个稳定的散射信道后才到达均衡器，成为2径信号，这两路信号幅度相等 ，相隔15ms。用MATLAB实现一个2级LMS均衡器(equalizer)

关于matlab的浙大课件包含word和ppt(ppt and word about matlab from zhejiang university)

对光学系统中常用的正弦振幅型透射光栅进行了仿真，仿真结果有衍射图案和光强沿x轴方向的曲线。(Of the optical system used in the amplitude of the sinusoidal transmission grating-based simulation, simulation results diffraction patterns and light intensity along the x-axis direction of the curve.)

System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares