EAGOOD

双极性SVPWM模型适合学习和仿真的基础模型( SVPWM model of double poles adapte for studying and simulation)

MPSK Simulation BPSK QPSK 8PSK

自适应滤波改进LMS，RLS,SER算法的MATLAB实现(adaptive filtering)

小波变换及其MATLAB工具的应用，这个供大家学习研究用(Wavelet Transform and Its Application of MATLAB tools, for them to learn from this study)

这是一个债券交易策略。由2条交叉线产生交易信号。( This MATLAB function implements a simple band trading strategy. A band consists of two lines that form the upper and lower boundaries of the band. The upper and lower boundaries are used to to enter and exit trades. For example, if prices fall below the lower boundary a buy signal is generated. )

此程序主要是对振动速度和位移信号的在线采集和处理，功能较为齐全。(This program is mainly for vibration velocity and displacement signal acquisition and processing online, function more complete.)

本文利用MATLAB的遗传算法工具箱，对弦长和扭角沿风力机展向分布进行优化，得到设计工况下的最优叶片设计。目标函数是设计工况下基于动量叶素理论和Glauert等修正所得出的功率系数。在设计工况下得到的设计结果，其功率系数在一定的风速范围内都能保持一个较高的数值，同时其有效攻角分布大致都在所选翼型的升力与阻力系数的比值最大处，与理论相符合。其结果说明该优化实际的有效性。(In this paper, the use of MATLAB genetic algorithm toolbox, chord length and twist angle along the wind turbine development to distribution optimized to obtain the optimal design conditions blade design. The objective function is to design conditions based on the results of momentum blade element theory and Glauert correction power factor. Design results in the design conditions, the power factor within the range of wind speeds can maintain a higher value, the effective angle of attack distribution substantially in the the selected airfoil lift and drag coefficient ratio of maximum , theoretical analysis and show. The results indicate the validity of the actual optimization.)

利用函数实现图像滤波以及采用两种不同的方法生成一个2-D滤波器并设计一个截止频率为0.5的理想低通滤波器(Image filtering in two diffferent way and simulate a low-passfilter.)

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) )

LT编码的东西，不知道好不好 就是上传试试(this is lt)