核极限学习机kernel-ELM

在OFDM系统下，采用LS、MMSE、DCT、lrmmse等方法进行信道估计(channal estimate)

有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 (The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value)

说明：  可以进行傅立叶变换的matlab程序 保证可以使用 (Fourier Transform can guarantee that you can use matlab program)

BER Vs SNR performance of a signal passing through Rayleigh Fading Chanel

计算随机薄膜厚度的反射率和透射率，利用传输矩阵编写(Random film thickness calculated reflectance and transmittance, written using the transfer matrix)

使用MATLAB中的COM生成器(comtool),将M文件生成DLL,于VB中引用.从MATLAB6.5开始,MATLAB提供了COM生成器,使用该生成器,可以将MATLAB函数和自定义的函数打包成组件,然后集成到支持该技术的应用程序中去.使用该技术,可以很大程度上脱离MATLAB环境. (The use of MATLAB)

关于Kalman滤波的matlab程序，可以下载学习下，共同交流(On the Kalman filter matlab program)

M/M/1单服务台排队系统仿真（用事件调度法实现离散事件系统仿真） 顾客到达模到达时间间隔和顾客服务时间均服从负指数分布，单服务台系统，按照单队排队，按FIFO方式服务。考察服务n个顾客（n=1000，2000，3000，5000）后的顾客平均队长及平均排队等待时间。(M/M/1 single-server queuing system simulation (using Event Scheduling Method Discrete Event Simulation System) to customers Da-mo arrival time interval and customer service time are negative exponential distribution, single-desk system, in accordance with the single-team queue, by FIFO mode services. N inspection services customers (n = 1000,2000,3000. 5000) the average customer captain, and the average queue time.)

定义surface distance， matlab 代码，可以运行，计算两个曲面 球面之间的距离(surface ellipsoid distance calculation )

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) )