chengxu

用C或者matlab编写基2 FFT快速算法，输入点数是2的幂次方，序列视作既包含实部也包含虚部。要求一个函数计可以做正变换，也可以做反变换。编写输入序列，先进行正反向变换，得到离散频谱，再将离散频谱加载到输入端进行验证，从输出端获取序列，和原来的序列进行比较，看看是否相等。序列可随意设为2的幂次项！(Written by C or matlab base 2 FFT fast algorithm, the input power of 2 points is the sequence includes both the real part as the imaginary part is also included. Require a meter to do is change the function, you can also do the inverse transform. The preparation of the input sequence, first the forward and reverse transformation, discrete spectrum, discrete spectrum and then loaded into the input validation, access to sequence from the output side, and the original sequences were compared to see if equal. Sequence can be arbitrarily set to a power of 2 items!)

machine learning a probabilistic persepective的源码(machine learning a probabilistic persepective code)

binary tree explaination ebook

This is a matlab file to remove object using inpainting technique.

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) )

Matlab code for one step ahead predictive control

this code is finite diffrence method

OFDM系统中PAPR抑制（使用SLM方法）(PAPR reduction in OFDM systems)

模拟退火算法在MATLAB环境下解决旅行商问题，实例代码(Simulated annealing algorithm in MATLAB environment to solve the traveling salesman problem, example code)

用于Matlab 编程，计算diffusion limited aggregation (A Matlab program to perform the diffusion limited aggregation )