articleInverse ProblemsMay 14, 2008Closed access

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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Topics & keywords

Keywords
  • Restricted isometry property
  • Compressed sensing
  • Isometry (Riemannian geometry)
  • Mathematics
  • Minification
  • Gaussian
  • Property (philosophy)
  • Work (physics)
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