basesignal

Partial volume correction method using reverse diffusion interpolation This function implements a reverse diffusion scheme to interpolate images to correct for partial volume effect. Under the assumption that the pdf is about the size of the pixel (e.g. MRI), edges between two structures can be recovered. There is a script (go1.m) that asks to select multiple dicom files and then runs the main function. Any file formats could be read upon a small modification (imread instead of dicomread).(Partial volume correction method using're This verse diffusion interpolation function i mplements a reverse diffusion scheme to interp olate images to correct for partial volume effe ct. Under the assumption that the pdf is about th e size of the pixel (e.g. MRI), edges between two structures can be recovered. There is a script (go1.m) that asks to select intercommunication handset dicom files and then runs the main functio n. Any file formats could be read upon a small mod ification (imread instead of dicomread).)

说明：  matlab code infrared image fusion with visual image.

简单的线性回归的算法以及运用此算法对简单数据进行分类处理(Simple linear regression algorithm and apply this algorithm to classify simple data processing)

无线合作分集网络中资源分配策略研究的论文(Cooperative diversity in wireless network resource allocation policy research papers)

说明：  将遗传算法的改进协同进化遗传算法应用于机器人路径的规划中(Improved genetic algorithm co-evolution genetic algorithm in robot path planning)

利用MATLAB编程，生成图像，随机生成一系列“囧”字(Using MATLAB to generate an image, a randomly generated series of " embarrassing" word)

Simulation poulse wave on matlab try it

本程序采用迭代对输入彩色图象进行增强处理,处理速度快,效果好. (this programme is used interactive method to enhance the imput color image)

8Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition 2005-Zhuang-Dai

Harris采用了一种新的角点判定方法。矩阵M的两个特征向量l1和l2与矩阵M的主曲率成正比。Harris利用l1, l2来表征变化最快和最慢的两个方向.若两个都很大就是角点,一个大一个小就是边缘,两个都小就是在变化缓慢的图像区域.(Harris adopted a new method of determining the corner. Matrix M of two feature vectors l1 and l2 with the matrix M is proportional to the principal curvatures. Harris use l1, l2 to characterize changes in the fastest and slowest in two directions. If both are great that corner, a little is a big edge, both small change is slow in the image area.)