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38
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For most large underdetermined systems of equations, the minimal l1-norm near-solution approximates the sparsest near-solution
– David L. Donoho
- 2004
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917
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95
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From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
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116
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Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit
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7
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Sparse Representations are Most Likely to be the Sparsest Possible
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- 2004
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21
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Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory
– Alyson K. Fletcher, Sundeep Rangan, Vivek K Goyal, Kannan Ramchandran
- 2006
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Compressive sensing: a paradigm shift in signal processing
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31
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Fast solution of ℓ1-norm minimization problems when the solution may be sparse
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- 2006
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359
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Decoding by Linear Programming
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- 2004
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3
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Morphological Diversity and Sparsity for Multichannel Data Restoration
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- 2008
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9
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Compressive Sensing and Structured Random Matrices
– Holger Rauhut
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QUALCOMM Flarion Technologies
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An Efficient Algorithm for . . . Pixel Camera and Compressive Sensing
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- 2009
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4
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Compressive Sensing
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- 2010
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185
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Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise
– Joel A. Tropp
- 2006
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1
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Blind Source Separation: the Sparsity Revolution
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25
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Theoretical results on sparse representations of multiple-measurement vectors
– Jie Chen, Xiaoming Huo
- 2006
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1
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Sparse Approximation, Denoising, and Large Random Frames
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61
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Sparse reconstruction by convex relaxation: Fourier and Gaussian measurements
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