symbol_error_probability

MATLAB图像处理中的实力应用 ，在文字识别，车牌识别中有较为广泛的应用，第2部分(MATLAB image processing in the strength of applications, in character recognition, license plate recognition to have a fairly wide range of applications, Part 2)

一个matlab的AHP库函数,用于解决关于AHP层次分析的问题(A matlab library function of the AHP for the solution on the issue of AHP AHP)

说明：  k均值聚类+matlab 有详细的注释和图片(failed to translate)

简易的matlab程序,还请大家多多指教，另求有限元计算光纤模场的matlab程序，请大家指点(some easy programs of matlab)

We present a study of a matrix pencil method for esti- mating parameters (frequencies and damping factors) of exponentially damped and/or undamped sinusoids in noise. Comparison of this method to a polynomial method (SVD-Prony method) shows that the matrix pencil method and the polynomial method are two special cases of a matrix prediction approach but the pencil method is more efficient in computation and less restrictive about signal poles. It is found through perturbation analysis and simulation that, for signals with un- known damping factors, the pencil method is less sensitive to noise than the polynomial method. In Appendix A, a new expression of the Cra- mer-Ran bound for the exponential signals is presented.

说明：  beamforming 最低旁瓣 利用的是cvx(The lowest side lobe of beamforming is CVX)

水平集图像处理程序,利用一个新的变分公式进行图像处理，效果很好(Level set image processing program,we present a new variational formulation for geometric active contours that forces the level set function to be close to a signed distance function, and therefore completely eliminates the need of the costly re-initialization procedure.)

2. 要求： ① 收集资料，全面分析课题，分解问题，形成整体编程思路； ② 深入分析各个小问题，编写各部分程序模块； ③ 对于设计中用到的关键函数，要联系问题进行具体介绍； ④ 上机调试，确保程序能正确运行； ⑤ 完成设计报告，并进行答辩。(2. Requirements: ① the collection of information, a comprehensive analysis of topics, decomposition problem, the formation of the overall programming ideas ②-depth analysis of various minor problems, the preparation of the various parts of program modules ③ used for the design of the key function, it is necessary to link the issue of details ④ debugging on the machine to ensure that procedures are functioning correctly ⑤ complete the design report and to respond.)

fuzzy c means clustering

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) )