group_lasso

卡尔曼滤波的理解，利用一个简单的正弦信号来进行卡尔曼滤波，从而更好的理解卡尔曼滤波。(Understanding of the Kalman filter, with a simple sinusoidal signal to the Kalman filter so as to better understand the Kalman filter.)

对信号进行短时傅里叶变换的逆变换，通过调用该函数查看信号进行处理后的时域信息(this code is used to processing the istft, and anslysis the distribution of the signal with time )

Application au problème de la cuve. Comparaisons entre un contrô leur ACF, un contrô leur PID et le contrô leur à logique floue de Matlab. Application au problème du pendule inverse. Comparaisons entre un contrô leur ACF, un contrô leur PID et le contrô leur à logique floue de Matlab.

肌电信号高低滤波算法与50Hz陷波器算法，仿真已通过(The EMG high-low filter algorithm and 50Hz notch filter algorithm have been simulated.)

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) )

this code described by Matlab file for fitting process for the extract a ellipse curve from the 2D noisy ellipse image.

说明：  lstm学习资料，可以使用，效果较好，希望满意(LSTM learning materials, can be used, the effect is better, hope to be satisfied)

image deionising using various filter in matlab

LU factorization of a square matrix using *no row exchanges*.

这个是matlab pso 工具箱 下载，包含了pso工具箱的所有工具。(This is a toolbox download matlab pso, pso kit contains all the tools: hiddenutils, nnet, testfunctions, Chinese documents containing installation instructions)