信号

说明：  贝叶斯压缩感知例子 Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.(Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.)

改进了的动态视频目标跟踪程序，跟踪效果很好，大家放心下载！(Improved tracking of dynamic video program, track good effect, and we rest assured downloads!)

MKL多核学习综述文章对应的很多MKL代码的合集，里面有很多有代表性的代码，非常详细！(MKL multicore learn many review articles MKL code corresponding collection, there are a lot of representative code, very detailed!)

TIP10的paper "Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" 的代码。一个图像去噪和超分辨的算法(TIP10' s paper " Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" code. Image denoising and super-resolution algorithm)

基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果(Simulation algorithm of remote sensing image processing methods based on partial differential equations using the test image denoising results compare with other image denoising algorithm to assess the value of the noise reduction effect, draw the method can not only remove the noise but well protected image edge details, to make up for the higher order nonlinear diffusion denoising method lead to fuzzy boundaries defects and improve the quality of remote sensing images and improve the visual effects)

图像去噪，去除图像的噪点 图像去噪，去除图像的噪点(Image Denoising)

说明：  实现平滑0范数压缩感知算法，主要对二维图像进行压缩感知重构。自行设置图像的采样数目、添加图像即可运行，无需修改。(Realizes a smooth 0-norm compressed sensing algorithm, mainly for compressed sensing reconstruction of two-dimensional images. Set the sample number of the image by yourself, add the image to run, no need to modify.)

萤火虫算法 GSO算法用matlab编程实现(Firefly algorithm GSO algorithm using matlab programming)

选择某一个目录，将某一个目录下的所有图片读取出来 并以缩略图的形式展现

是由牛津大学VGG开发的三维重建开发包，其代码包括特征提取，单应矩阵计算，二视几何算法，多视几何的算法，是学习三维重建理论的好东西(code for reconstruction。 developed by VGG oxford)