13.元胞自动机的matlab程序

首先总结FDTD算法中的两种典型边界条件的算法特点，然后提出用Matlab语言编程的步骤和应注意的问题，并结合具体例子讲解编程的方法，最后得出用Matlab语言对FDTD算法编程的几点结论(FDTD algorithm is summarized in the first two typical boundary conditions of the algorithm characteristics, and proposed using Matlab programming steps and should pay attention to the problem, and explain with concrete examples of programming method, the conclusion that the language of the FDTD algorithm using Matlab programming several the conclusions)

The file calculates and plots FM noise sidebands for a carrier. It also does sinusoidal modulation. This simple way of adding noise to a carrier is useful for simulation of PLLs. It turns out, though, that the mean of the randn function is not as close to zero as it could be, and this causes the fft to generate extra sideband energy, which makes it appear as if the noise is not what would be expected. This program gets around this by adding a fudge factor to the randn results to eliminate this problem. It took me ages to figure this out, I hope to reduce a similar effort for others

对信号加窗，进行短时傅里叶变换，输出一个结构组，包含时间和频谱幅度(Signal windowed short time Fourier transform, and output a structure that contains the time and spectral amplitude)

说明：  MATLAB中用于时间序列分析的arma（）函数的定阶(MATLAB, for time series analysis arma () function of order determination)

Source Code in Matlab implementing Source Separation as used in Bell and Sejnowski 1996.An information maximisation approach to blind separation and blind deconvolution.

matlab环境下，对puma560机器人人的工作空间运动轨迹做了轨迹规划，的到轨迹云图 (Matlab environment, puma560 robot trajectories trajectory planning, to track cloud map)

系统辨识与自适应控制程序 大家看看吧 个人也是搜索得到的 分享了(System identification and adaptive control procedures)

给出了基本的有监督的基于矩阵分解的链路预测的代码。(Supervised link prediction based on matrix decomposition)

静平衡点求解，转子系统在滑动轴承油膜力作用下，不同转速时会存在一个静止平衡点(static positon, the roter system exist a balance position at differient rotation speed under oil force)

白噪声经过AR模型的输出作为LMS滤波器的输入，已知：a1=1.558；a2=-0.81；白噪声方差为1.0，均值为0；u＝0.002；利用Matlab实现：(White noise as the input of the LMS filter after the output of the AR model known: a1 = 1.558 a2 =-0.81 white noise variance of 1.0, an average of 0 u = 0.002 using Matlab:)