el_beam_transfer

Yaakov Bar-Shalom, X.-Rong Li,Thiagalingam Kirubarajan - Estimation with Applications to Tracking and Navigation - DynaEst toolbox (Yaakov Bar-Shalom, X.-Rong Li,Thiagalingam Kirubarajan- Estimation with Applications to Tracking and Navigation- DynaEst toolbox )

资料室关于GUI界面设计的例子，里面有源码程序，有程序运行结果图(Reference Room on the GUI interface design examples, there are source program, a program run results in Figure)

窗体分辨率自适应这是一个小小的程序例子,可以让大家进行学习的(Form resolution this is a small program example, can let you learn)

A Minesweeper like c++ console game that will count the number of horizontal, vertical, L-Spate and J-Shape

2FSK的调制解调，基于simulink的仿真(2FSK-simulink)

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) )

多频率点的凹口滤波，干扰对消，实现信号与噪声的分离，效果很好。(Recesses of the multi-frequency filtering, interference canceller to realize the separation of signal and noise, and the effect is good.)

OFDM信道检测，包括MMSE和LS算法(LS and MMSE channel estimation)

两种图像重建质量判定方法，全图熵（ENT）和目标杂波比（Target to clutter ratio）。(Two criterion for image reconstruction,full image entropy and target to clutter ratio)

LSE algorithm in OFDM channel estimation