搜索资源列表
Beginners_code_CS
- 非常适合压缩感知-compressed sensing初学者学习的入门matlab代码。-Beginners Code for Compressive Sensing。
CS_OMP
- 正交匹配追踪算法—基于压缩感知信号重构.-Orthogonal Matching Pursuit algorithm- based on compressed sensing signal reconstruction
BCS
- IEEE文献Bayesian Compressive Sensing及贝叶斯压缩感知源码-Bayesian Compressive Sensing Code
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.
BP算法
- 压缩感知中BP（basis pursuit）算法，能够运行。
CS-BP
- 压缩感知BP算法（basis pursuit algorithm）-basis pursuit algorithm
CS_recovery_algorithms_OMP_SP_IHT
- 压缩感知的各种重建算法，包括：CoSaMP，GBP,IHT,OMP,IRLS,SP算法-Compressed sensing various reconstruction algorithms, including: CoSaMP, GBP, IHT, OMP, IRLS, SP algorithm
DCS_SOMP
- 分布式压缩感知代码，初学者试用，完整程序-Distributed compressed sensing code, for beginners to try and complete the program
gaole
- 图像压缩感知与重构，运用omp算法实现，效果还不错。-compressive sensing
BNLR
- 本程序包是由老外缩写，用nonlocal TV的方法，用于数字图像去模糊和压缩感知。-this package includes a lot of programs,the algorithm is NLTV and for deconnverlution and CS.
cs_ls_mse
- 此程序实现压缩感知方法与最小二乘方法在超宽带信道估计中实现信道估计的MSE对比。-This program is compressed sensing method with the least squares method is implemented in ultra-wideband channel estimation channel estimation MSE contrast.
LICS
- 该文章为压缩感知重构算法，主要介绍基于LI范数最小化的凸优化算法，简单实用，比较适合除学着实用。-This article is compressed sensing reconstruction algorithm introduces LI norm optimization algorithm based on minimization of a convex, simple and practical, more suitable in addition to learn practic
segreg
- 压缩感知思想在系统辨识应用的程序，很好用的matlab代码-Identification of switched linear regression models using sum-of-norms regularization
l1_ls
- 基追踪算法，通用程序，稀疏性恢复、压缩感知两大算法之一-Base tracking algorithm, common procedures, sparsity recovery, one of the two compression algorithms perception
cosamp
- 压缩感知信号重构方法—cosamp，此方法可以快速精确地恢复原始信号-Compressed sensing signal reconstruction method-cosamp, this method can quickly and accurately recover the original signal
oompf
- 压缩感知oompf重构算法代码，写的不错，比较新的一个算法-Compressed sensing reconstruction algorithm based on oompf code
COMPRESSIVE-DETECTION
- 这是一篇关于压缩检测的文章，稳重利用压缩感知的方法来解决通信系统中二元信号检测问题。-This is an article about the compression test, steady use of compressed sensing approach to solve the communication system with binary detection problem.
m_sequence
- 压缩感知中基于m序列的测量矩阵的构成，代码在matlab上进行了仿真，效果好于传统高斯矩阵。代码有详细注释，易懂-This codes described measurement matrix based on m sequences in Compressed sensing. It has good result in matlab environment and the effect is better than the traditional Gaussian matrix. Code
Xampling_GUI
- 压缩感知。多路恢复。。。.本人实验。可以通-Compression sensing. Multiplex. Recovery.
Matlab_MSCT_version1
- 多尺度的压缩感知跟踪matlab源码，效果还不错，亮点在于解决多尺度变化的问题-Multi-scale compressed sensing tracking matlab source, the results were good, highlights that solve the problem of multi-scale changes