Sparsity and incoherence in orthogonal matching pursuit
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Publication:1710949
DOI10.1007/s11045-018-0554-8zbMath1435.94089OpenAlexW2790607945MaRDI QIDQ1710949
Publication date: 24 January 2019
Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11045-018-0554-8
Estimation in multivariate analysis (62H12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Norms of matrices, numerical range, applications of functional analysis to matrix theory (15A60) Random matrices (algebraic aspects) (15B52)
Cites Work
- Orthogonal matching pursuit under the restricted isometry property
- User-friendly tail bounds for sums of random matrices
- Random sampling of sparse trigonometric polynomials. II: Orthogonal matching pursuit versus basis pursuit
- Uniform uncertainty principle for Bernoulli and subgaussian ensembles
- Nonuniform support recovery from noisy random measurements by orthogonal matching pursuit
- Analysis of inpainting via clustered sparsity and microlocal analysis
- Sparse signals recovery from noisy measurements by orthogonal matching pursuit
- Suprema of Chaos Processes and the Restricted Isometry Property
- Decoding by Linear Programming
- Greed is Good: Algorithmic Results for Sparse Approximation
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
- Compressive Sensing by Random Convolution
- A Sharp Condition for Exact Support Recovery With Orthogonal Matching Pursuit
- Microlocal Analysis of the Geometric Separation Problem
- A Remark on the Restricted Isometry Property in Orthogonal Matching Pursuit
- A Probabilistic and RIPless Theory of Compressed Sensing
- Sparse Recovery With Orthogonal Matching Pursuit Under RIP
- Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise
- Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
- Sparsity and incoherence in compressive sampling
- Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices
- Compressed sensing
- Noiselets
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