OMP_MMV

本程序是用来解决0-1规划问题的，匈牙利算法的MATLAB程序（用以解决分配（指派）问题） 本程序的用法是：输入效率矩阵 marix 为方阵，调用自编指令[z,ans]=fenpei(marix) 输出z为最优解，ans为最优分配矩阵。(This procedure usage is: input efficiency marix phalanx, calls for matrix maozhi instructions, [z] = fenpei (ans marix) output z for optimal solution, ans for optimal distribution matrix.)

模拟雷达，对雷达的功能进行分析，可以根据对参数的修改方便地看到输出的图形结果(simulated radar, the radar functional analysis Based on parameters can be amended easily see the graphics output results)

It is a hologram file player/processor example.

在本次仿真中，信道加入了高斯白噪声，收端采用了相干解调的解调方法。附详细的WORD文档说明(In this simulation, the channel joined the Gaussian white noise, closed-ended demodulation using coherent demodulation method. WORD document attached to a detailed description)

语音仿真程序，生成房间的冲击响应，方法为Image方法，程序简单可用。(Voice simulation program to generate the room impulse response, methods for the Image methods, procedures can be simple.)

this is the lorenz atractor

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

Wind turbine output power vs. rotational speed, with wind speed as parameter

异步电动机转子串电阻分级启动过程的MATLAB仿真大家一起学习(Rotor induction motor to start the process of classification Series Resistance MATLAB simulation we study together)

实现改进的超指数盲均衡算法，纠正了原算法不能纠正相位偏转的缺点(realize the MSEI algorithm, improved the original SEI algorithm and corrects the phase error)