main0601

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

基于SIFT的光流运动检测，能够解决遮挡问题，有效提高检测的精度。(SIFT-based optical flow motion detection, can solve the occlusion problem, improve detection accuracy.)

多径多普勒信道模型，包括快衰落，慢衰落，频率选择性衰落，平坦衰落等(Doppler multipath channel model, including fast fading, slow fading, frequency selective fading, flat fading, etc.)

较为详细地介绍了延迟微分方程的概念以及数值解法，并提供具体的计算案例以及在matlab中的实现，并附有一定的源码，适合初学者参考学习()

Adaptive filter 三种演算法RLS,LNS sign error LMS(three RLS algorithm. LNS sign error LMS)

Simulation of continuous-time system and digital controller

lim solution to ricitta

主要使图像进行灰度化处理，matlab的源代码，视同再进一步的预处理中应用(Gray image)

说明：  一种用于实现变压器等故障分类的matlab代码(A matlab code for transformer fault classification)

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)