assignment

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

Digital signal processing Using Matlab

采用Bfgs算法解决光滑的半监督支持向量机，并采用不同的光滑函数进行比较(Using Bfgs algorithm to solve the smooth semi-supervised support vector machines, and using smooth function to compare different)

这个是光谱预处理的正交信号校正dosc的程序，希望能够帮助你(This is the spectral pre-processing of orthogonal signal correction dosc procedures, hoping to help you)

Plots of power and phase of two modes in transmission gratings(Long period gratings). both numerical and analytical methods

说明：  matlab编写的训练som神经网络源程序 (Matlab prepared by the neural network training som source)

说明：  改进后的Harris检测，能大大提高检测效率。(Harris improved detection can greatly increase the efficiency of detection.)

lyapunov指数计算常用方法，包括定义法、小数据量法、正交法、wolf法，以lorenz系统为例，内有详细说明，均以通过测试(lyapunov Index commonly used methods, including the definition of law, a small amount of data, orthogonal method, wolf law to lorenz system, for example, with detailed instructions, are tested)

关于正交解调的几个源码，希望对大家有所帮助。(Quadrature demodulation on several source, we want to help.)

说明：  给出了一个控制系统的模型，此模型采用ＭＡＴＬＡＢ模块搭建，解决跟踪问题(Gives a control system model, this model structures using MATLAB module to address the tracking problem)