AMDF

基本模拟调制及其功率谱密度函数，有图的仿真结果，可以比较直观的进行理解(The basic analog modulation and power spectrum density function, a simulation results, can be more intuitive to understand)

　Buck-Boost转换器转换周期轨道从混乱的状态,本文提出一种　　混沌控制方法通过改善电感电流和输出电压之间的关系。通过调整　　耦合强度,这种方法可以控制混沌周期2 Buck-Boost转换器,period-4,period-8轨道　　period-9轨道和周期3,时间6,不确定不稳定周期轨道(着)。(To transform the Buck-Boost converter the chaotic state to the periodic orbits, this paper proposes a chaotic control method by improving the correlation between the inductor current and the output voltage. By adjusting the coupling strength, this method can control the chaotic Buck-Boost converter to the period-2, period-4, period-8 orbits and the period-3, period-6, period-9 orbits, without determining the unstable periodic orbits (UPOs) in advance.)

Simulink 介紹與使用 Simulink 為建構在Matlab 環境下的模擬工具，是一種用來 分析與模擬 系統動態特性的軟體。Simulink 為採用視窗的方式配合滑 鼠的運用，建立 及模擬動態系統模型。藉由圖形化功能方塊的建立 且將各圖形方塊加以連 結成一個模擬系統，用以簡化設計的流 程並模擬分析。

说明：  Tune PID Parameters with PSO (Particle Swarm Optimization)

说明：  m序列的产生方法的源代码 matlab仿真 希望初学者有用(m sequence generator method )

matlab查找单词系统 输入单词之后 会自动从库中查找单词(the systern of seraching words by matlab)

说明：  Matlab 调用refprop（64位环境）和物性函数(Matlab calls RefProp (64 bit environment) and physical function)

信号处理与分析，信道仿真，模型构建与验证，信道测试，(Analysis and processing, signal channel simulation, construction and validation of the model, channel test,)

MIMO-OFDM系统信道估计算法研究(LS,LMMSE),对受加性高斯白噪声干扰，多径效应影响的信号，仿真研究MIMO-OFDM的性能(A Study on the Channel Estimation Algorithms of MIMO-OFDM System)

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) )