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经验模式分解源码 学习希尔波特黄变换的参考程序 源于Internet网络，欢迎传播交流！(Empirical mode decomposition source learning Hilbert Huang Transform reference procedures from Internet network, welcomes the dissemination of the exchange!)

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) )

Optilux是一个设计，模拟和分析光通信系统的开发工具包(Optilux is an collection of tools that provide advanced techniques to design, simulate, and analyze optical communication systems)

运用于MATLAB人脸识别的摄像头调用并进行人脸追踪(MATLAB face recognition camera called and face tracking.)

说明：  与常规的单目标遗传算法求解不同，该算法考虑两个目标函数的遗传算法(Different from the conventional single objective genetic algorithm, this algorithm considers the genetic algorithm of two objective functions)

Based on An Efficient Procedure for Nakagami-m Fading Simulation, Norman C. Beaulieu, Christine Cheng

说明：  开发环境:MATLAB 简要说明:基于MATLAB的显示误差递变的线性神经元源程序(development environment : MATLAB Brief Description : Based on MATLAB error shows the linear movements of neurons source)

利用matlab自带函数wavedec2、wcodemat实现二维小波分解与简单压缩的实例。(using Matlab wavedec2 bringing their function. wcodemat 2D wavelet decomposition and compression simple examples.)

face recognition PCA

a comparative study between a PI regulator and fuzzy regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with two PWM voltage source inverter (VSI) and decoupled by field oriented control (FOC).The simulation results illustrate the robustness and efficiency of the fuzzy regulator to the parametric variations.