资源列表
HH8WIL
- 乐都的WIL资源编辑器，最老的 HH8.net代码。分享给大家-The WIL Resource Editor
sanweiyuyuntu
- VB.NET绘制三维曲面以及云图以及等高线 包括坐标转换和插值 -VB.NET draw three-dimensional surface and cloud images and contour coordinate transformation and interpolation
realadaboost
- matlab的一个基于realadaboost的人脸检测程序，有详细的源码，包括haar特征的提取，以及若分类器的学习。-Matlab based on adaboost face detection procedures, there are detailed source code, including haar feature extraction, and if the classifier learning
ISAR1 copy
- ISAR 二维成像（包含运动补偿）数据来源于网上-ISAR two-dimensional imaging (including motion compensation)
AFMM_Inpainting
- 基于快速行进法（FMM）进行图像修复的matlab源码，从作者网站上下的额，很经典，经过调试 ，可以使用，希望能帮你-Based on fast marching method (FMM) for image restoration of matlab source code, from the site up and down, very classic, after debugging, you can use, hope can help you
NSL0
- 结合牛顿算法的sl0的优化算法，实现L0范数的近似实现。具有较好的效果。-the modified algorithm of SL0,which has a better qualitify on psnr and runtime.
Improve-DSCM
- 数字图像相关方法，能够处理图像的变形情况，进而得到图像的应变和切应变-Digital image correlation method, it is possible to deal with the deformation of the image, and then get the strain and shearing strain of the image
plotxx
- matlab绘制双x坐标图形。与plotyy类似，但是前者不共用x坐标，而可在一个图中绘制x,y数据均不同的两组数。-matlab draw double x coordinate graph. And plotyy similar, but the former does not share the x-coordinate, which may be plotted in a graph x, y are two different sets of data number.
silvaco-PN-athena
- 基于silvaco平台 利用athena软件做的一款PN结二极管的二维图仿真-Based on silvaco platform using the officer software do a 2 d figure of the p-n junction diode simulation
graphene
- 石墨烯的结构编程图,这是费了工作人员很长时间才完成的。-The figures of graphene
CSTwodim-BPOMPStOMPalgorithm
- 该压缩包里有基于压缩感知理论的stomp、omp、和bp算法，在处理二维图像上比较有优势，可直接在matlab上运行-The bag is compressed based on compressed sensing theory stomp, omp, and bp algorithm, in dealing with a comparative advantage on the two-dimensional image can be directly run in matlab
umist
- 人脸数据库umist数据集,分辨率为32x32，已处理成.mat格式，包括数据和类表，用于机器学习-Face Database umist dataset resolution 32x32, has been processed into .mat form, including data tables and classes, machine learning