cameral

这是kalman滤波的仿真作业,实现kalman滤波在目标跟踪中的应用(This is a simulation of kalman filtering operations, realize kalman filtering in target tracking application)

matlacb程序包，能读写netcdf文件,(matlab program bag, read & write netcdf file)

采用JPDA数据关联算法实现两个个匀速运动目标的点迹与航迹的关联。(Point to achieve the goals of the two uniform motion JPDA data association algorithm traces track association)

注水算法，对初学者很有用。欢迎下载(Injection algorithm, useful for beginners. Welcome to download)

张正友的Easycalib的程序没有提供源代码，这是matlab实现代码，大家试试！(Easycalib Friends of the procedures did not provide the source code, which is to achieve Matlab code, we try!)

数字陷波器的设计notch_filter design(Digital Filter Design notch_filter design)

（8，1）重复码在BPSK系统下的误码率仿真及其与理论值的比较(Simulation and its comparison with the theoretical value of the error rate of the (8,1) repetition code under BPSK system)

说明：  SOGI一个仿真，自己搭的，功能是对的，可以测试。(SOGI is OK.dual second-order generalized integrator PLL.)

genetic algorithm combine Ant colony optimization for feature selection

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) )