rdsac.m.tar

uplink Channel of LTE

对于小位移和桥梁变形的测量，一种很好的算法，对研究匹配也具有参考价值(For the measurement of small displacement and bridge deformation, a very good algorithm, also has reference value for research matching)

background regestration

利用matlab开发平台和相关的SVM优化工具箱,及OAO,OAA,BSVM2算法模型,设计改进并实现非线性的模式分类实验模型系统.(Matlab use development platform and related optimization toolbox of SVM, and OAO, OAA, BSVM2 algorithm model, designed to improve and to achieve non-linear model of the pattern classification 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) )

BPSK signal generation

自适应滤波器设计的方法用于信号处理的具体应用。可以实现信号的自适应处理(Adaptive filter design method for the specific application of signal processing. Can realize the adaptive signal processing)

根据公汽线路信息数据，编写对任意车站，寻找通过该站的汽车线路的M文件； （3）编写M文件，对任意两个车站m,n，判断是否有线路通过这两车站，若有则编写寻找通过该站的汽车线路的M文件 （4）对任意两个车站m,n，若没有线路直接通过这两车站，编写通过一次转车而到达两站的M文件 (According to the bus line information and data to write on any station to find the M-file line through the station car (3) the preparation of the M-file, any two stations m, n, determine whether the line through these two stations, if write to find the M-file line through the station car (4) any two stations m, n, if there is no line directly through the two stations, the preparation time to change trains to reach the M-file of the two stations)

matlab常用代码,包括常用的图像图形处理。详细请下载查阅。(commonly matlab code, including commonly used in image and graphics processing. For details, please download the inspection.)

stock market openprice predictor using inbuilt matlab neural network functions