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张正友相机标定和二灭点法相机标定的ppt讲解，附带二者的matlab程序，可运行(Zhang Zhengyou camera calibration and two-vanishingpoint method of camera calibration ppt to explain, with both matlab procedures, operations)

电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)

DataBurn is an Objective-C example which demonstrates some of the features of DRTracks. The sample illustrates how to create a DRFolder from an existing folder on the source disk and burn it to disc, creating a hybrid ISO9660/Joliet/HFS+ data CD. The sample also uses the DiscRecordingUI framework to present the standard burn setup and progress user interfaces.

matlab中关于s函数的例子仿真学习的必备教程，里面有许多例题，学完你就是高手(this is two sample about simuThe simulation study the necessary tutorials, it has many examples, learned you is masterlink of s-function，it is very useful，)

gui filter it is usefull for matlab app

matlab的pdf文档，主要讲解其中的控件技术，有兴趣的同志们可以参考一下(matlab the pdf documents, mainly on one of the control technology, the comrades who are interested can refer to)

说明：  仿射投影（AP）算法演示，自适应LMS算法，Matlab程序(Affine Projection (AP) Algorithm Demo)

High accuracy optical flow using a theory for warping(The files optical_flow_brox.m and optical_flow_sand.m are the files you need to run. optical_flow_brox.m implements the traditional algorithm. Just replace the first lines where images are read, with your image, and start the process. optical_flow_sand.m implements a variant presented in CVPR 2006. Again just replace the lines "img1 = imread( ... )" and "img2 = imread( ... )" with your images and the rest is automatic. The variable num_levels controls the number of images in the laplacian pyramid to be constructed. Change it to suit your convenience.)

说明：  关于径向基函数神经网络、两个典型的反馈神经网络Hopfield网络、Elman网络的简单示例，适合初学者掌握径向基函数网络和反馈网络的神经网络工具箱函数，为全面学习这两类网络打下基础。(The simple examples of radial basis function neural network, two typical feedback neural networks Hopfield network and Elman network are suitable for beginners to master the neural network toolbox functions of radial basis function network and feedback network, which lays a foundation for comprehensive learning of these two types of networks.)

UPFC SIMULTION IN MATLAB MODEL