kalman

matlab code genetic programing

burg变换，zak变换等，利用MATLAB实现，可用本程序实现对某个给定信号做对应的变换，效果良好，程序中还有关于误差的分析(burg transformation, zak transform using MATLAB to achieve, and the corresponding signal corresponding to do, transform, to good effect, as well as analysis of program errors)

一个采用slm实现ofdm系统降低峰均比的程序，效果挺不错的。(An ofdm system using slm achieve PAPR reduction program, the effect is very good.)

Simulink® and Stateflow® model of a full duplex Bluetooth communication link transmitting HV1, HV2, HV3, and SCORT [1] voice packets, and DM1 data packets. A system parameters block configures the whole model s packet type, slot pair and channel type. Stateflow is used to implement the acknowledgement scheme for the data packets and the SCORT receiver state machine. NOTE: A version of this model which works with the current release of MATLAB and Simulink is shipped with the Communications Blockset™ . The model includes wave file I/O, CVSD speech coding, HEC, payload CRC for DM1, FEC, framing, GFSK Modulation, frequency hopping, hop sequence generation, an 802.11b interferer, BER meters, throughput meters, plus spectrum, timing and spectrogram plot (which can be turned-off).

卡尔曼滤波对自由落体目标的跟踪和应用，并给出住真结果。(Kalman filter for target tracking and application of free-fall, and give live real results.)

2008国赛数模a题关于双目识别照相机的源代码1.m1.m，moni.m，moni2.m，moni3.m，gongqiexian.m为可执行代码，直接运行即得结果（当然必须保证代码即本文件中的图片pictrue.bmp在matlab的当前工作区） 2.执行m1.m时程序会将每个圆的像的边缘点以excel文件保存在D盘，而执行gongqiexian.m需要这些文件(2008 model a number of national title race )

about control satellite

Learn how to use matlab in telecommunications, with diferents ways of digital and analog processing.

Ezyfit is a tool that provides a better fitting to curves

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) )