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一本关于复杂网络的文献，对从事这方面研究的人员是特别有帮助的。(About a complex network of literature in this field of research staff are particularly helpful.)

一个matlab的simulink小仿真图，给一朋友参考的,关于双向功率管的(Matlab of simulink a small simulation map, a reference to a friend on a two-way power tube)

说明：  简单的预测与案例教程，适合初学者用于学习预测原理和简单的matlab代码(failed to translate)

matlab建模的百科全书，司守奎老师编著的(many useful knowledge about matlab )

matlab7与c++的混合编程：将m函数编译成dll给C++调用，从而加快开发的进度。(Matlab7 and c++ programming with mixed: make m function compiled into the DLL to c++ calls, thus speeding up the progress of the development. )

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)

信息论中变长编码的香农编码程序，大家可以互相学习(In the information theory of shannon length coding encoding process, we can learn from each other)

采用MFCC算法提取出能表征信号本质特征信号的参数，进一步对信号进行分类研究作准备(describle the MFCC feturae)

Compressive sensing SuOrEM code

演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(MA eigenvalues ​ ​ demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters)