SteepestgradientmethodToolbox

该程序是用小波函数构建神经网络的源程序。用以分析心电信号、脑电信号等等。(that the procedure was constructed using wavelet neural network function of the source. For the analysis of ECG, EEG, and so on.)

deconvwnr.rar 很有用的一个程序,做维纳滤波的可以(deconvwnr.rar a useful procedure to do the Wiener filter can be)

该程序为matlab环境下的程序，其功能是产生动态的von_koch分形曲线(The program for the matlab environment procedures, and its function is to generate dynamic fractal curve von_koch)

very useful for inverter design in power electronics

分析非平稳信号的工具包，时频工具包，能帮你分析非平稳信号(Analysis Toolkit non-stationary signals, time-frequency toolkit can help you analyze non-stationary signals)

关于拉曼光纤激光器超连续谱的仿真程序，欢迎大家下载楼！(this is about supercontinue spectrum.)

这本matlab书籍适合初学者使用，里面有清晰的对于matlab的基础的介绍(it s for newcomer )

matlab程序，中心差分法。。。。。。。。。。。。。。。。。(matlab program, central difference method. . . . . . . . . . . . . . . . .)

Lorenz系统，吕系统的延迟反馈matlab仿真(Lorenz system, Lu delayed feedback system simulation)

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)