pi-facerec-box-master

Induction Machine Model/simulink

For people who are new to matlab

color mapping using look up table

小波，小波包去噪和分析相关的一些编程，供初学者学习之用(Wavelet, wavelet packet de-noising and analyze some programming related, for beginners learning to use)

森林火灾仿真，元胞自动机，可视化设计，非常经典(Forest fire simulation, cellular automata, visual design, very classic)

MATLAB是大家常用的开发工具，尤其是在研究生阶段和读博士期间，这是一个关于人工神经网络的matlab程序，可以运行的哦(MATLAB is commonly used development tools, especially at the graduate level and duration of the PhD, which is an artificial neural network on matlab program, you can run, oh)

M/M/1单服务台排队系统仿真（用事件调度法实现离散事件系统仿真）(m/m/1)

This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q + sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) (This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) )

说明：  在地震勘探资料处理中应用的频谱分析函数。。。。。。。。。。。。。。。。。。。。。(Spectrum Analysis)

波束形成中mvdr和music算法精确性对比分析，可对两个声源进行识别(Mvdr and music beamforming algorithm accuracy comparative analysis of the two sound sources can be identified)