SLAM

这个程序代码用于提取眼底图像的血管，包括去噪、边缘检测(The program code for extracting a blood vessel image of the fundus, including denoising, edge detection)

This Matlab script finds the frequency offset effects in the orthogonal frequency division multiplexing (OFDM)and its effects on the bit error rate (BER). A reference paper is also included.

Ce programme nécessite le matériel suivant

一种基于复杂网络的适应性模型，包含不同能量分布对度分布、不同删除概率影响、鲁棒性与脆弱性、平均路径 聚类系数、容错性(An adaptive model based on complex network is proposed, which includes the effects of different energy distribution on degree distribution, different deletion probability, robustness and vulnerability, average path clustering coefficient, and fault tolerance.)

用matlab实现gmsk编码，可直接运行。(Using matlab to achieve GMSK encoding can be directly run.)

Signal_数字信号处理教程MATLAB释义与实现 附带程序(Signal_ definition digital signal processing and implementation with MATLAB tutorial program)

粒子群优化算法优化无约束函数，其优化效果相当的不错，呵呵呵呵！(AVERAGE PSO Programs constrain gear Design)

多抽样率信号处理，IMC-PID是利用内模控制原理来对PID参数进行计算，欢迎大家下载学习，进行逐步线性回归，是一种双隐层反向传播神经网络，可以得到很精确的幅值、频率、相位估计。( Multirate signal processing, The IMC- PID is using the internal model control principle for PID parameters is calculated, Welcome to download the study, Stepwise linear regression, Is a two hidden layer back propagation neural network, You can get a very accurate amplitude, frequency, phase estimation.)

子彈 可以用C++ code做出子彈並放進射擊遊戲。(Bullets can make use C++ code and put a bullet shooter.)

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) )