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- l1-norm, compress sensing
compress edsensing OMP
- 压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，
Compressed_sensingl
- compress sensing aimed at cognitive radio is performed in this file,hope everyone can come up with some suggestions
ROMP
- 视频压缩感知系统的基追踪算法仿真，可以运行通-Video compress and sensing system that based on BP.
Compress Sensing in SONAR Imaging field
- Compress Sensing - CS (Also known as compressive sensing, compressive sampling, or sparse sampling) Approach overall and to discover an application of CS in SONAR Imaging field. According to the given elementary theory, proceeding to construct algori
cs-omp
- 关于压缩感知使用的凸优化工具包，非常实用，基于OMP的压缩感知。能够有效的压缩信息。-About compressed sensing using convex optimization toolkit, very practical, perception-based compression OMP. Can effectively compress the information.
GroupSparseBox
- cmpress sensing is Sampling with less number Sample .