newSvmToolBox

its a nice toolbox for compressive sensing

基于Matlab/simulink 的风速仿真模型 对4种风速进行simulink建模 风力发电系统中的风速仿真模型(Use Matlab/simulink simulation software to establish a mathematical model for the four parts of the wind speed.)

windows版memcache安装及应用(installation and application windows version memcache)

Sugeno type fuzzy model

移动通信系统中，Rayleigh衰落信道的matlab仿真(Mobile communication systems, Rayleigh fading channel matlab simulation)

dfig simulation is explained with the help of matlab

说明：  Simulink中实现PR控制器。PR控制器在逆变器控制中应用很多。PR控制能够在谐振频率处提供无穷大的增益，因而对谐振频率处的电流信号实现无静差跟踪，并且易于实现，可有效降低系统成本。(PR controller is implemented in Simulink. PR controller is widely used in inverter control. PR control can provide infinite gain at the resonant frequency, so the current signal at the resonant frequency can be tracked without static error, which is easy to implement and can effectively reduce the system cost.)

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) )

matlab的准线性集合，可以求出线性参数及误差，并且可以得到极值(matlab quasi-linear collection of linear parameters and error can be calculated, and you can get the extreme value)

说明：  该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated)