Chua

MATLAB入门视频，初学者可多学习，简单，直观，易懂(MATLAB Introduction to video, beginners can learn more than simple, intuitive, easy to understand)

this file is use for the compare histogram equalization

说明：  时变参数向量自回归模型的估计代码以及模型应用方法(Estimation code and application of Time-Varying parameter vector autoregressive model)

电力系统潮流IEEE算例大全，有详细说明文档(Power flow IEEE examples Daquan, detailed documentation )

make a transversal channel take a three tap chanel [1,1/4 1/2] and data generate by BPSK(1 or -1)(make a transversal channel take a three tap chanel [1,1/4 1/2] and data generate by BPSK(1 or-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) )

cancel adaptive noise

改变声音信号采样频率。应分别考虑由低到高和由高到低，最好包括声音采集和回放等功能。(To change the audio signal sampling frequency. Should be considered separately from low to high and high to low, preferably including audio capture and playback functions.)

BER 32 QAM MATLAB code

说明：  基于遗传算法的最优时间Ｂ样条轨迹，复现文章3.6节中的分析(The time-optimal B-spline trajectory based on genetic algorithm. This programme recurrences the analysis in section 3.6 of this paper)