NCSCIT01_086_1815459

关于车辆声音信号的滤波、能量以及频谱分析(Voice signals on the vehicle filtering, spectral analysis of energy and)

针对数字通信系统中，由于码间串扰(ISI)和信道加性噪声的干扰，导致信号在接收端产生误码，设计了基于LMS算法的自适应均衡器(滤波器)。是一篇标准的毕业论文,有需要的朋友可以拿来做参考(Thesis for digital communications systems, crosstalk due to inter-symbol (ISI) and additive noise channel interference, leading to signals generated in the receiver error, design algorithm based on LMS adaptive equalizer (filter). Is a standard thesis, there is a need to make friends can be used as reference)

这个源码是基于互信息图像配准用matlab的实现,需要的就下，啥也不说了(this source is based on mutual information image registration with the realization of Matlab, on the basis of need, not that the hero)

功率谱密度估计。welch法功率谱密度估计，协方差法估计，Burg法估计。(psd estimate。welch，covariance，Burg。)

matlab实现的RSA加密算法,非常易于使用(matlab implementation of the RSA encryption algorithm, very easy to use)

向下延拓是不稳定算法，这个程序采用迭代法向下延拓，稳定性更好，自己编写的，供大家参考(Downward continuation algorithm is unstable, this program uses an iterative method for downward continuation, better stability, I have written for your reference)

什么也不用说了，MIT的MATLAB教程，最好的学习资料，最实用的分析工具(Needless to say nothing, MIT' s MATLAB tutorial, the best learning materials, the most useful analytical tools)

matlab simulation for freq division mux

基于基本LMS的自适应噪声抵消程序,对一音频信号去噪,效果不错(based on the basic LMS adaptive noise cancellation procedures, an audio signal denoising good results)

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) )