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signal recovery from partial information via orthogonal matching pursuit(贪婪算法OMP).
- signal recovery from partial information via orthogonal matching pursuit(贪婪算法OMP).
OMP算法
- OMP的MATLAB实现
wavelet-omp
- OMP的matlab实现
压缩感知 OMP
- OMP算法，在压缩感知中很重要
BP、StOMP、OMP算法重建比较
- BP、StOMP、OMP算法重建比较
基于OMP算法的信号稀疏分解（Gabor字典）
- 基于OMP算法的信号稀疏分解程序
压缩感知重建算法OMP 及K-SVD
- 文件中包换了稀疏矩阵的重建及在图像去噪方面的应用
ROMP
- Regularized OMP by Vershyn and Kneede-Regularized OMP by Vershyn and Kneedell
Dijkstra-omp
- C语言和OpenMP编写的可在多核或SMP处理器上进行多线程运行的最短路径算法。可了解多核多线程和OpenMP的并行编程技术。-C language and can be prepared OpenMP or multi-core processors on SMP multi-threading to run the shortest path algorithm. Learn to multi-core multi-thread a
NPB2.3-omp-C
- openmp版的banchmark，有点高深，我自己不太懂，希望对大家有所帮助啦！ -openmp version of banchmark, a bit higher, I do not really understand, I hope all of you to help you!
compared
- 对比BP，OMP，StOMP对自然图像的重构效果,输入图像是一幅256*256的lena图像，我们使用压缩采样后，再用上述三种方法对其进行重构，比较其结果，其中StOMP方法是用不同的阈值-Contrast to BP, OMP, StOMP effect on the reconstruction of natural images, input image is a 256* 256 lena image, we use the c
ompbox9
- batch-omp 是一种omp 的改进方法，比常规omp速度更快，而且不占用内存-batch-omp is a imrovement of omp
omp
- 正交匹配追踪算法程序，omp,匹配最佳原子(Orthogonal matching tracking)
OMP
- 自己写的一种OMP算法，一种用于压缩感知的重构(The OMP algorithm used for compressed sening and by Louis in 2014)
omp
- 基本的omp算法，里面包含稀疏度的设计和信号重构(The basic OMP algorithm contains the design of sparsity and the signal reconstruction)
omp
- 正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sens
omp可运行程序(m格式)
- 完成omp算法编程，其中加入了噪声及多种频率的信号完成了稀疏表征。(Programming of OMP algorithm with sparse representation)
omp
- 基于压缩感知的OMP稀疏重构，与MP方法进行区别(sparse reconstruction using OMP based on compressive sensing)
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)
OMP
- matlab 实现高光谱图像处理中omp算法(OMP algorithm in hyperspectral image processing based on MATLAB)