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matlab 与 ansys 的相互调用(matlab mutual call and ANSYS)

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) )

The problem of enhancing speech degraded by uncorrelated additive noise, when only the noisy speech is available, has been widely studied in the past and it is still an active field of research

generation of chaotic signals (logistic map)

K均值聚类算法，网上已存在很多，我是新手，大神的看不懂，觉得自己编的比较适合菜鸟理解吧。。。(K-means clustering algorithm)

Particle Swarm Optimization Simulation

潮流计算 牛顿拉夫逊方法(chaoliujisuan niu dun la fu xun chao liu ji suan )

Signal Detection and Estimation 关于信号检测与估计的一本英文电子书，本书首先介绍了一些信号的随机过程，然后详细地介绍了一些信号检测和估计的方法。很好的一本外文书，大家一起分享。(Signal Detection and Estimation。This book is primarily designed for the study of statistical signal detection andparameter estimation. In the first,it present concepts on probability and random variables. Then,it present Statistical Decision Theory，Parameter Estimation.It is really a good book,share with all of you.)

离散付里叶补零算法，以及2D汉明窗的离散付里叶算法(discrete Fourier-zero algorithm, and 2D Hamming window of discrete Fourier algorithm)

相空间重构及奇异值分解代码，可用于消噪处理，希望有所帮助(Phase space reconstruction and singular value decomposition code, can be used to eliminate noise processing, Hope that helps)