knifeedgediffraction

降维状态观测器是非常重要的一类观测器，它使用状态反馈构成闭环系统的物理实现成为可能。降维状态观测器的设计方法很多，这里提出主要的两种：(Reduced-order state observer is a very important class of observer, which uses state feedback closed loop system, the physical realization possible. Reduced-order state observer design method are many, here for the main two:)

matlab 程序手敲，简单介绍gui的使用以及其中的一些算法，文中用到了简单的二值最小二乘算法计算拟合数据(Hand knock matlab program, as well as a brief introduction gui use some algorithm, the paper uses a simple algorithm to calculate the least squares fitting binary data)

Hybrid energy meter with smart energy metering

用matlab所写的复杂网络所用的经典算法，如BA无标度网络，ER随机网络，WS小世界网络和NS小世界网络，以及最近邻耦合网络等matlab算法，可以修改参数，可以绘制复杂网络图形。在matlab中直接可运行。(Classical algorithm matlab written with complex network used, such as BA scale-free networks, ER random network, WS small-world networks and NS small world networks, and nearest neighbor coupling network matlab algorithm, you can modify the parameters, you can draw complex networks graphics. Can be run directly in matlab.)

music算法仿真程序 music算法是多重信号分类算法(MUSIC METHOD)

这个程序实现AMLE方法的图像插值。首先，通过入口从输入图像得到一定数量的水平集。起点只是自动选择的。然后，每个水平集的边界被提取出来，图像边界上的数据被记录。最后，通过使用ＡＭＬＥ扩展这些信息重建一个非常接近原图像的新的图像。(This program implement image interpolation by AMLE method. Firstly, get a number of level sets from an input image by thresholdding. The threshold values are chosen automatically. Then the boundaries for each level set are extracted, the image data on the boundaries are recorded. Finally, by using AMLE, extend those imformation to reconstract a new image, which will approximate the original one quitr well.)

高功率双包层光纤激光器及仿真,端面抽运的掺Yb双包层光纤激光器的基本理论及其仿真(High power double clad fiber lasers and simulation, end-pumped Yb-doped double-clad fiber lasers basic theory and simulation)

用MATLAB作的一个滤波程序 (MATLAB for a filtering process ///////////////////// )

Plik demonstruje budowe przykladowej sieci neuronowej w programie Matlab NEURAL NETWORK

径向基神经网络,使用的算法梯度下降法,比较清晰,适合于初学神经网络的用户(RBF neural network, using gradient descent algorithm, more clarity, suitable for novice users of neural network)