搜索资源列表
CS_OMP
- 压缩感知的一个经典算法，即正交匹配追踪，在MATLAB7.0下已实现-Perception of a classical compression algorithm called orthogonal matching pursuit, had been achieved in the MATLAB7.0
shawei
- 压缩传感引论(沙威博士)：压缩感知如门级文章，对正交匹配追踪算法进行了详细的阐述。-Compressed sensing cited theory (Savit Ph.D.): compressed sensing, such as gate-level article on the orthogonal matching pursuit algorithm in detail.
CS_OMP
- CS压缩感知中的 匹配追踪算法 完成图像的重构，没有经过优化的程序-CS compressed sensing of the matching pursuit algorithm to complete the image reconstruction, the procedure has not been optimized
regular_omp
- 压缩感知的一个恢复算法，规则化正交匹配追踪-A recovery algorithm for compressed sensing, rules-based orthogonal matching pursuit
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
orthorize_match_persuit
- 关于压缩感知的信号处理应用，信号的恢复重构采用正交匹配追踪算法。-Application of wavelet transform signal processing, signal recovery reconstruction algorithm using orthogonal matching pursuit.
CS_OMP
- 压缩感知信号重建的正交匹配追赶算法（omp），与bp算法相比较有叫高的精度，但是付出了计算量的代价-Compressed sensing signal reconstruction algorithm Orthogonal matching catch (omp), compared with the bp algorithm are called high precision, but at a cost of computation
compressedsensing_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
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.
adapOMP
- OMP算法，基于压缩感知的正交匹配追踪算法，能够很好的重构出原始信号-OMP algorithm based on compressed sensing orthogonal matching pursuit algorithm that can reconstruct the original signal very good
dct_omp
- 压缩感知中基于DCT基的OMP算法，用正交匹配追踪重构出原始信号-DCT-based compressed sensing based OMP algorithm, orthogonal matching pursuit reconstruct the original signal
fbmpCP
- 用于图像处理的压缩感知的快速贝叶斯匹配追击算法-Compressed sensing image processing for rapid Bayesian matching pursuit algorithm
CS
- 该文为压缩感知的信号重构设计了两种主要的重构算法-匹配跟踪算法、互补匹配跟踪算法，并对两种算法的特点进行了对比-In this paper, the signal is compressed sensing reconstruction of the design of two major reconstruction algorithm- matching tracking algorithm, complementary match
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
MP2
- 压缩感知， 匹配追踪， 是MP算法的另一种实现，该代码严格按照算法，运行可靠-compressive sensing match pursuit another MP algorithm .both MP and MP2 can work well
CS_SWOMP
- 可用于恢复稀疏信号，图像处理/噪声处理/医学成像等应用中，是压缩感知重构算法中的分段弱正交匹配追踪算法(It can be used to recover sparse signals, image processing / noise processing / medical imaging, and so on. It is a piecewise weak orthogonal matching pursuit algorithm
压缩感知程序
- 压缩感知中稀疏分解算法的正交匹配追踪算法OMP(An orthogonal matching pursuit algorithm for compressed sensing OMP)
code
- omp cosamp subspace_pursuit算法代码(omp cosamp subspace_pursuit code)
压缩感知
- 本文分别以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。(In this paper, DCT and FFT are used as sparse basis, Gauss random matrix and partial Hadamard matrix are used as measurement
omp
- 压缩感知重构算法之正交匹配追踪(OMP)的算法实现(Implementation of Orthogonal Matching Pursuit (OMP) algorithm for compressed sensing reconstruction)