搜索资源列表
L1-Norm 优化求解
- 稀疏性方程组的优化求解算法，利用L1-Norm求解最稀疏的方程组解。主要用于压缩感知领域。
凸优化工具箱CVX
- 斯坦福大学Grant和Boyd教授等开发的凸优化matlab最新工具箱(Windows版)-Stanford University Professor Boyd Grant and the development of new convex optimization toolbox matlab (Windows Version)
CS_OMP.rar
- CS_OMP.rar - 压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子
DCS_SOMP
- 压缩感知的仿真算法，使用的是SOMP恢复算法。-Compressed sensing simulation algorithm, using SOMP recovery algorithm.
一个关于图像融合的最新外文文献
- 一个关于图像融合的最新外文文献，运用的最新理论压缩感知，是近期研究基于压缩感知的图像融合的一个很好的论文,An image fusion on the latest foreign language literature, using the latest compression theory of perception is the recent research is based on compressed sensing image fusion is a good paper
zzl
- 在关于压缩感知的一些资料,主要是小波方法对图象以及一维信号的压缩感知,其中包括著名的沙威博士后(香港中文大学)个人程序-In some of the information on compressed sensing, the main image and the wavelet method is a one-dimensional signal compression perception, including the famous Javert postdoctoral (Chinese
adapBP
- BP算法，基于压缩感知的基追踪重构算法，能够很好的重构出原始信号-BP algorithm, based on perception-based compression algorithm for track reconstruction
CS-OMP-wavelet-reconstruction
- 基于小波变换的图像压缩感知 并且进行OMP重建 对压缩感知的性能与采样点数进行性能分析与比较-Image compression based on wavelet transform perception and the OMP reconstruction performance of compressed sensing and sample analysis and comparison of performance points
CoSaMP
- 压缩感知中压缩采样匹配追踪算法，用于稀疏信号的重构-Compressed sensing algorithm in the compressed sample matching pursuit for sparse signal reconstruction
A-Sparse-Learning-Package
- 美国莱斯大学压缩感知稀疏学习工具箱，能把信号进行稀疏表示，进而实现远低于奈奎斯特抽样速率的压缩感知-Rice University study Toolbox sparse compressed sensing, sparse representation of the signal can, thus achieving much lower than the Nyquist sampling rate of the compressed sensing
NonCvxGroupSparsity
- 压缩感知 重构算法. 基于最优化的方法， 实现压缩感知的图像重构-compressive sensing .Based on the optimization methods, compression perception of image .
Wavelet_OMP
- 用小波变换和OMP重构的压缩感知算法来重构lena图像。-CS Algorithm with DWT and OMP。
CS
- 关于压缩感知在雷达成像中的应用的一篇论文，-compressed sensing
RecPF_v1.1
- 基于压缩感知理论的recPF重构算法,recpf为最新的重构算法，比之前omp之类算法，效果更好-Based on the theory of compressed sensing reconstruction algorithm recPF
Professor-Lu-Wusheng-lecture
- 陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。-Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short
CSBP_matlab
- 用于压缩感知的基追踪(Basis pursuit)算法，程序非常详细，仅供参考-Basis Pursuit (Basis is pursuit) algorithm for compressed sensing.
l1_ls
- 基于最小二乘思想解决l1范最小问题，对于初学压缩感知的同学有一定的帮助 -L1 norm minimization problem based on least squares ideology, compressed sensing for the beginner students some help
OMP
- omp程序，用于语音压缩感知的重构算法，希望对大家有用-omp program for voice compressed sensing reconstruction algorithm, we want to be useful
distributed-video-compress-sensing
- 一篇将分布式视频压缩和压缩感知联系起来的文章-One will be distributed video compression and compressed sensing article link