relay_superimposed

返回系数估计向量；stats返回各种参数估计；’wfun’指定一个加权函数；tune为调协常数；’const’的值为’on’(默认值)时添加一个常数项；为’off ’时忽略常数项(Return coefficient estimate vector stats back to a variety of parameter estimation ' wfun' to specify a weighting function tune for the co-ordination constant ' const' value ' on' (default value) add a constant term for the ' off' time ignore the constant term)

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 codes for fdtd and computational emt

说明：  基于MATLAB的GUI设计，做成的一个FIR滤波器，主要使用的是FIR算法(MATLAB-based GUI design, made of a FIR filter, the main use of the FIR algorithm)

Connection system (QAM, PA, AWGN). Demodulation with BER computing.

混沌粒子群CPSO，内附混沌粒子群的相关理论和改进的论文(Chaotic particle swarm CPSO, the related theory of chaotic particle swarm and the improved thesis)

说明：  OFDM系统中，在没有频率偏差时，解调后的结果与原始数据一致，而存在频率偏差时，解调后的结果与原始数据差异较大，且频率偏差越大，解调结果与原始数据的差异就越大。(In OFDM system, when there is no frequency deviation, the demodulation result is consistent with the original data, while when there is frequency deviation, the demodulation result is significantly different from the original data, and the greater the frequency deviation is, the greater the difference between the demodulation result and the original data will be.)

lindo_lingo_matlab教程，请大家一起交流(lindo_lingo_matlab tutorial, please exchange with U.S.)

用于实现车道线识别探测的matlab程序，可达到良好的识别率(Lane Recognition for achieving detection matlab program, can achieve good recognition rate)

3A rational design of a digital shearlet transform 2010-Donoho-Kutyniok-Shahram-Zhuang-SampTA