Description: 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 Platform: |
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Description: 《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 several calculation methods L0 norm Disadvantages. Classic program Platform: |
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Author:孔啸 |
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Description: 《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 greedy algorithm demo program, including the algorithm itself and the treatment effect Platform: |
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Description: 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 algorithm demo program, including weakMP algorithm itself and its advantages and disadvantages compared with other algorithms Platform: |
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Author:孔啸 |
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Description: 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 Platform: |
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Author:孔啸 |
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Description: 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 Platform: |
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Author:田雷 |
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Description: 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 description can be found in "Image Denoising Via Sparse and Redundant
representations over Learned Dictionaries-low rankdenoise an image by sparsely representing each block with the
already overcomplete trained Dictionary, and averaging the represented parts.
Detailed description can be found in "Image Denoising Via Sparse and Redundant
representations over Learned Dictionaries Platform: |
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Author:中和 |
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Description: 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 Platform: |
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Author:shauven |
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Description: 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
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Author:侯臻 |
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Description: The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today s signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Platform: |
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Author:Keigo |
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Description: 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 corresponding implementation procedures, there is a good understanding of the book talking about the theory help group, this book is to learn sparse coding and compressed sensing a very good book Platform: |
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Author:下雨晴 |
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Description: Sparse and Redundant Representations,讲解稀疏表示的系统书籍，非常值得看-Sparse and Redundant Representations, explain the sparse representation system book, well worth watching Platform: |
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Description: 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 Platform: |
Size: 1024 |
Author:月牙儿 |
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Description: [BOOK]Sparse and Redundant Representations
From Theory to Applications in
Signal and Image Processing.PDF Platform: |
Size: 14350336 |
Author:贝克汉公 |
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Description: 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 Image Processing, sparse representation of the latest blockbuster Platform: |
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Author:杜战 |
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Description: 《Sparse and Redundant Representations：From Theory to Applications in
Signal and Image Processing》Michael Elad的电子书，讲稀疏表示及其应用-《Sparse and Redundant Representations：From Theory to Applications in
Signal and Image Processing》Michael Elad
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Author:孙超 |
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