video_compression

说明：  这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配(This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching)

在matlab的基础上，使用掩膜图像分割出上层图像(On the basis of matlab, mask image is used to segment the upper image)

说明：  k-svd算法用于稀疏表示的图像去噪，字典学习算法，去噪效果良好(k-svd algorithm for image denoising of sparse representation)

一个维纳滤波器图像恢复的MATLAB原码(A Wiener filter image restoration of the original MATLAB code)

采用预处理的CG算法求解Hilbert矩阵，求解1000阶及以上的方程组。预处理矩阵分别采用3对角线、5对角线以及在对角线上分割小块矩阵的矩阵。可以任意设置收敛精度，简单实用。(CG algorithm for solving Hilbert matrix preconditioning, 1000 order and above solving equations. Diagonal matrix were pretreated with 3, 5 and in the diagonal matrix, the diagonal matrix of divided pieces. Can be set convergence precision, simple and practical.)

说明：  对于单基地SAR，使用BP算法进行成像，展示回波信号幅度、相位、距离压缩后以及最后成像的图像。(For single base SAR, BP algorithm is used to image, which shows the amplitude, phase, distance compressed and final image of echo signal.)

svd图像压缩，程序中使用了三种方法的SVD，包括直接svd，分块svd和小波svd(3 svd comprecessions.)

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

winform 自定义窗体、控件

压缩感知中稀疏分解算法的正交匹配追踪算法OMP(An orthogonal matching pursuit algorithm for compressed sensing OMP)