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low-rank-ksvd
- 低秩的求解 denoise an image by sparsely representing each block with the already overcomplete trained Dictionary, and averaging the represented parts. Detailed descr iption can be found in "Image Denoising Via Sparse and Redundant representations
Package-Book
- Elad 《Sparse and Redundant Representations 》一书中的代码，关于稀疏理论，介绍的比较系统
Sparse_and_Redundant_Representations_From_Theory_t
- 有关稀疏表达的书，http://www.cs.technion.ac.il/~elad/index.html中有介绍-Expressed about the book sparse, http://www.cs.technion.ac.il/ ~ elad/index.html described in
Demo_Greedy
- 《Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing》书中计算L0范数的几种方法优劣比较。经典程序-" Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing" in the book are severa
Demo_Relaxation
- 《Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing》中贪婪算法中的松弛算法的演示程序，包括算法本身与处理效果-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing in the relaxation algorithm
WeakMP_efficiency
- Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing 书中的weakMP算法演示程序，包括weakMP算法本身及其与其他算法的优劣比较-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book weakMP algor
Sparse-and-Redundant-Representations
- Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster
KSVD
- 实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法-Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the noise reduction algorithm
sparse-presentations
- 稀疏表示、压缩感知、压缩传感的新书--从原理到应用，2010年springer出版，对学习这一领域非常有帮助-sparse and redundant representations： from theory to applications
Sparse-and-Redundant-Representations
- 这本教科书，介绍了稀疏和多余的申述，对信号和图像处理应用的重点。的理论和数值基础处理前的应用进行了讨论。信号源的数学建模一起讨论如何使用适当的模型，如去噪，恢复，分离，插值和外推法，压缩，采样，分析和合成，检测，识别，多任务。这次报告会是优雅和迷人的。-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing
Matlab-Package-Sparse
- 这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book cor
Mutualcoherenceofagivenmatrix
- Matlab源码 计算矩阵各列与其他各列的互相关系数，并按照概率分布利用直方图的形式展示出来。 该互相关系数的定义参考Michael Elad的《Sparse and Redundant Representations》p25 Definition2.3-Matlab code for mutual-coherence of a given matrix
Image-and-Redundant
- 通过稀疏和冗余图像去噪在学习词典下的表示-Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
Sparse-traslation
- Sparse and Redundant Representations的中文翻译版-Sparse and Redundant Representations
RiemannianMatrixCompletion_30Jun2014
- 稀疏和冗余交涉从理论到应用的信号和图像处理，稀疏表示的最新巨作 - 稀疏和冗余交涉从理论到应用的信号和图像处理，最新大片的稀疏表示-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and