搜索资源列表
DCVS2009_Kang
- 基于Matlab的压缩感知视频编码程序。DCVS的最新理论算法程序。稀疏矩阵采用BWHT(沃尔什-哈达玛矩阵)，重构算法用GPSR。-Matlab-based video compression perceptual coding process. DCVS the latest theoretical algorithm program. Sparse matrix with BWHT (Walsh- Hadamard matrix), reconstruction algorithm wit
dct_cs
- 采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号-an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
l1magic
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
GPSR
- 压缩感知信号重建 梯度投影法信号重建代码-Compressed sensing signal reconstruction signal reconstruction code gradient projection method
CS
- Matlab编写的压缩感知的库函数，包括稀疏分解和重构。-Written in compressed sensing Matlab library functions, including the sparse decomposition and reconstruction.
dct_cs
- DCT压缩感知方案，采用DCT基稀疏分解原始信号，并且重构出原始信号-DCT compressed sensing scheme, using sparse decomposition of the original DCT-based signal and reconstruct the original signal
CoSaMP_singlel
- 压缩感知中的迭代恢复算法，是匹配追踪的一种变形。Cosamp稀疏恢复算法。-Iterative restoration in compressed sensing algorithm is a variant of matching pursuit. Cosamp sparse recovery algorithm.
hadamard
- 压缩感知算法中观测矩阵为哈达玛矩阵重构算法为OMP时的测量相对误差与观测矩阵维数的关系-Compressed sensing algorithm for the Hadamard matrix of observation matrix reconstruction algorithms for the OMP and the relative error when measuring the dimension of the relationship between the observed
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，
l1-slove
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
CS_recovery_algorithms_OMP_SP_IHT
- 基于Matlab编写压缩感知重建算法集，包括OMP，CoSaMP，IHT，IRLS，GBP，SP和ROMP.-Matlab codes for CS recovery algorithms, including OMP, CoSaMP, IHT, IRLS, GBP, SP and ROMP.
压缩感知图像重构的算法
- 这是我自己编写的压缩感知图像重构的算法，用于学习，先稀疏，再观测系数，最后重建-This is your perception image compression algorithm used to study and review, thin, and observation of the reconstruction and
CS_MP
- MP重构算法程序！可以直接运行！而且有十分清晰的注释！适合刚接触压缩感知重构算法初学者使用-compressed sensing reconstruction matching puristi
support_detection
- 压缩感知的几种算法的检测概率的对比，M-OMP，MP，OMP-Several compressed sensing algorithm comparison of detection probability, M-OMP, MP, OMP
cs_cvx
- 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-compressive sensing, compressed sensing
Matlab下用压缩感知恢复一维信号
- Matlab下用压缩感知恢复一维信号(正交匹配追踪法)-Matlab recovery under the one-dimensional compressed sensing signal (orthogonal matching pursuit method)
pocs-spocs-recovery
- 压缩感知重构算法的功能代码 内附功能函数的详细说明-Compressed sensing reconstruction algorithm of the function code included a detailed descr iption of performance function
romp
- Regularized Orthogonal Matching Pursuit是正交匹配追踪算法的优化，可以用于稀疏信号的恢复以及压缩感知等-Regularized Orthogonal Matching Pursuit
CSArcticInChinese
- 关于压缩感知理论综述性的中文期刊论文，包括理论原理与应用，以及该理论的研究现状和公开性问题等。-Review on the theory of compressed sensing of Chinese journal articles, including theoretical principles and applications, and research status of the theory and openness issues.
适应梯度
- 融合图像 结合contourlet与压缩感知的图像融合(Fusion image combined with contourlet and compressed sensing image fusion)