搜索资源列表
l1
- 压缩感知的一个应用实例，对压缩后的信号用BP算法重构-An application of compressed sensing, on the compressed signal with the BP algorithm has
main_BP
- 基于压缩感知的很好的BP重构算法，注释清楚，适合初学者-Based on the good BP compressed sensing reconstruction algorithm, annotation clear for beginners
cvx-13.04.03
- stanford大学开发用于解优化问题的系统模型，可用于解压缩感知恢复算法：BP、DS等-the system modeldeveloped by stanford University is used for the solution of optimization problems, such as compressive sensing recovery algorithm: BP, DS
compressed-sensing
- matlab 写的 压缩感知的程序，基于压缩感知 + bp + omp + mp 对 lena.jpg 256*256 图片进行采样和还原，仿真了还原的效果，对不同snr下的还原效果进行研究和仿真-Compressed sensing program matlab write, based on compressed sensing+ bp+ omp+ mp lena.jpg 256* 256 images on sampling and restore, restore the simulat
BP-OMP-StOMP
- 压缩感知BP,OMP,StOMP算法实现信号重构-BP,OMP,StOMP algorithm for Signal Reconstruction Based on Compressive Sensing
CS-BP
- 压缩感知BP算法（basis pursuit algorithm）-basis pursuit algorithm
CS_recovery_algorithms_OMP_SP_IHT
- 基于压缩感知理论的图像重构算法matlab实现，其中包含OMP，BP,IHT等重构算法-Reconstruction Algorithm Based on the theory of compressed sensing image reconstruction algorithm matlab implementation, which contains the OMP, BP, IHT, etc
CSBP_SAR_Processing
- 基于压缩感知的SAR处理成像BP算法，非常经典，内含多个子函数-based on compressed sensing of SAR processing
sparsify_0_5
- 稀疏工具箱，用于压缩感知，包含BP、MP、OMP等算法的实现，附有论文。-sparsify_0_5 cs
BP
- 除匹配追踪类贪婪迭代算法之外，压缩感知重构算法另一大类就是凸优化算法或最优化逼近方法，这类方法通过将非凸问题转化为凸问题求解找到信号的逼近，其中最常用的方法就是基追踪(Basis Pursuit, BP)，该方法提出使用l1范数替代l0范数来解决最优化问题，以便使用线性规划方法来求解(In addition to match-tracking greedy iterative algorithms, another major category of compressed-perceptual