Noisy signal recovery via iterative reweighted L1-minimization

@article{Needell2009NoisySR,
  title={Noisy signal recovery via iterative reweighted L1-minimization},
  author={Deanna Needell},
  journal={2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers},
  year={2009},
  pages={113-117}
}
  • Deanna Needell
  • Published 2009 in
    2009 Conference Record of the Forty-Third…
Compressed sensing has shown that it is possible to reconstruct sparse high dimensional signals from few linear measurements. In many cases, the solution can be obtained by solving an ℓ1-minimization problem, and this method is accurate even in the presence of noise. Recently a modified version of this method, reweighted ℓ1-minimization, has been suggested. Although no provable results have yet been attained, empirical studies have suggested the reweighted version outperforms the standard… CONTINUE READING
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