Restricted isometry properties and nonconvex compressive sensing
Los Alamos National Laboratory · University of Baltimore
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Abstract
The recently emerged field known as compressive sensing has produced powerful results showing the ability to recover sparse signals from surprisingly few linear measurements, using ℓ1 minimization. In previous work, numerical experiments showed that ℓp minimization with 0
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Authors
2Topics & keywords
Topics
Keywords
- Restricted isometry property
- Compressed sensing
- Isometry (Riemannian geometry)
- Mathematics
- Minification
- Gaussian
- Property (philosophy)
- Work (physics)
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