Filtros

MATLAB的基本知识，基本运算与函数整理(MATLAB basic knowledge, basic calculations and function finishing)

本书中重点介绍了Matlab6.中图像处理的内容(matlab for image processing)

说明：  用泽尼克拟合波面的几种算法的描述，对于重构波前有一定的帮助(Wavefront with a Zernike fitting the description of several algorithms for wavefront reconstruction will certainly help)

说明：  史上最详细的matlab教程，涵盖了matlab使用的各个方面，很有帮助作用(The history of the most detailed tutorial matlab, covering all aspects of the use of matlab, helpful role in)

基于Matlab的m序列发生器的设计（内附matlab程序）(Based on the Matlab m sequence generator design (enclosed Matlab) )

amlify and forward locations in coperative communications system

这是一个matlab关于模型预测控制的例子，主要是一个机械转台的控制仿真，希望对学习模型预测控制的同学有帮助(This is an example matlab on model predictive control is mainly a mechanical turntable control simulation, in the hope of learning model predictive control to help students)

PPM编码器的测试文件，可以测试PPM编码是否正确(PPM encoder test file, you can test whether the correct PPM encoding)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

光的振幅扩散函数、光学传递函数和点扩散函数，在光学仿真和光线传播中必须要用(ASF、OTF and PSF of light, having important using in light transmission)