malaNasobilka_ThienLongNgo

PCA是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。本程序实现了基于PCA特征脸的人脸识别。(PCA is a major contradiction to grasp things, statistical analysis, it can parse out things from multiple main factors, revealing the essence of things, simplifying complex issues. This program implements the features of face recognition based on PCA.)

Linear convolution between two sequences

结构力学中的有限元例子,包含了7个分类文件夹(Structural mechanics of the finite element example, contains seven classification folder)

对输入的语音信号进行分帧处理，低通滤波，中心削波，求自相关函数最后得到基音轨迹。(Speech input signal framing processing, low-pass filtering, center clipping, seeking autocorrelation function finally got the pitch trajectory.)

c# language specification book (zip version)(pdf inside)

a matlab code on duper resolution

这是调和函数用MATLAB实现的代码，精确，简单易懂(This is the realization of harmonic functions with MATLAB code, accurate, easy-to-read)

Performance Comparison of Kalman Filter Based Approaches for Energy Efficiency in Wireless Sensor Networks

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)

STEREO VISION SOURSE CODE