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美国莱斯大学压缩感知稀疏学习工具箱，能把信号进行稀疏表示，进而实现远低于奈奎斯特抽样速率的压缩感知-Rice University study Toolbox sparse compressed sensing, sparse representation of the signal can, thus achieving much lower than the Nyquist sampling rate of the compressed sensing
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稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
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该代码是描述稀疏矩阵的十字链表的表示方法-Cross linked list sparse matrix representation
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Sparse signal representation using overlapping frames论文的实现-Sparse signal representation using overlapping frames
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Images Denoising via Sparse and Redundant Representation
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稀疏图像表示的课件，西安电子科大焦李成做-Sparse image representation of the courseware, Xi' an Electronic Science and Technology Li-Cheng Jiao do
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稀疏矩阵的三元组表示与转置，实现转置前后矩阵的三元组表示方法-Sparse matrix representation and triple transpose, transposed before and after implementation of the triple matrix representation
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该文对压缩感知理论进行了综述，对压缩感知的稀疏表示、观测矩阵、编码、解码和有待研究的关键问题进行了综述-This paper summarizes the theory of compressed sensing, sparse representation of compressed sensing, observation matrix, encoding, decoding and the key issues to be examined were reviewed
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Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation
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稀疏表示的matlab代码，可以对信号进行稀疏表示，对稀疏表示有兴趣的学者，可以研究，很有帮助-Sparse representation of the matlab code, and the signal can be sparse representation, interested in sparse representation of the scholar, to study, very helpful
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文献“Sparse Representation based Fisher Discrimination Dictionary”及其对应的matlab代码，稀疏学习是目前非常流行的方法，希望对大家有所帮助-a paper named Sparse Representation based Fisher Discrimination Dictionary and its matlab code
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稀疏表示用于人脸识别，采用SDR方法，文字发表在IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE顶级期刊，影响因子4.75.-Sparse representation for face recognition, the use of the SDR method, text published in the IEEE Transactions on pattern analysis and machine intell
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稀疏低秩表示，基于稀疏表示的子空间谱聚类方法-Sparse representation
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稀疏表示常用算法工具箱 包括OMP KSVD -Sparse representation of common algorithms, including KSVD OMP
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SPARSE REPRESENTATION CLASSIFIERS FOR SIGNAL REPRESENTATION
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3D数据稀疏表示算法及其软件流程的知识
好文章，推荐查阅学习
-good article about sparse representation
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稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications
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利用稀疏表示的方法进行人脸识别，matlab代码。(sparse representation)
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This document contains documentation on how to use the Long Term Evolution (LTE) System Level simulator [1] as well
as some insight on its structure and the assumptions that were made while developing it. This document relates more on how to
actual
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Tensor Low-Rank Sparse Representation for Tensor Subspace Learning
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