Sparse reconstruction with multiple Walsh matrices
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Publication:2317908
DOI10.1515/apam-2017-0047zbMath1455.94045arXiv1804.04335OpenAlexW2963485101WikidataQ129735391 ScholiaQ129735391MaRDI QIDQ2317908
Publication date: 13 August 2019
Published in: Advances in Pure and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.04335
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Random matrices (algebraic aspects) (15B52) Numerical linear algebra (65F99)
Cites Work
- A mathematical introduction to compressive sensing
- Sparse Legendre expansions via \(\ell_1\)-minimization
- Iterative hard thresholding for compressed sensing
- Random sampling of sparse trigonometric polynomials
- The restricted isometry property and its implications for compressed sensing
- A simple proof of the restricted isometry property for random matrices
- Uniform uncertainty principle for Bernoulli and subgaussian ensembles
- Majorizing measures: The generic chaining
- Sparse Recovery Algorithms: Sufficient Conditions in Terms of Restricted Isometry Constants
- Counting faces of randomly projected polytopes when the projection radically lowers dimension
- Compressed sensing and best đ-term approximation
- New and Improved JohnsonâLindenstrauss Embeddings via the Restricted Isometry Property
- On sparse reconstruction from Fourier and Gaussian measurements
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Greed is Good: Algorithmic Results for Sparse Approximation
- Just relax: convex programming methods for identifying sparse signals in noise
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
- Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
- Model-Based Compressive Sensing
- Stable signal recovery from incomplete and inaccurate measurements
- Compressed sensing
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