Rayleigh_filtered

介绍了垂直同步的相关知识。 介绍了一种简单的计算帧速（FPS）的方法。 最后，我们列出了一份完整的天体动画程序清单。 (Introduce a vertical synchronization knowledge. Introduce a simple calculation帧速(FPS) method. Finally, we have listed a complete list of animation objects.)

说明：  使用matlab 进行模拟仿真 对于元宝自动机 使用 simulink(simulink cellular automata matlab)

一些小程序，仅供参考，不足之处，请见谅。谢谢你的支持。(Some small programs, reference, deficiencies, please forgive me. Thank you for your support.)

关于无线通信的一些书籍，经典教材。全是PDF，清晰。保证能用(Some books on wireless communications, the classic textbook. All PDF, clear. Guaranteed to)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

考虑单独变量之间的相关性，将其变成扩展变量，再用留一法进行数据处理，最后用SVM进行回归(Consider the correlation between individual variables, to expand into the variable, and then leave one for data processing, and finally with SVM regression)

a simple ACP program under matlab

DC Motor control model

系统辨识用，用来辨识非线性系统的参数，还可以对非线性系统进行仿真。(System identification, used to identify nonlinear system parameters, it can also nonlinear system simulation. )

使用matlab编写fft算法，主要使用外中内三层循环，把时域的信号序列转化为频域的信号 (Prepared using matlab fft algorithm, outside the three cycles, the time-domain signal sequence into the frequency domain signal)