Dynamic updating for L1 minimization

@article{Asif2010DynamicUF,
  title={Dynamic updating for L1 minimization},
  author={Muhammad Salman Asif and Justin K. Romberg},
  journal={J. Sel. Topics Signal Processing},
  year={2010},
  volume={4},
  pages={421-434}
}
The theory of compressive sensing (CS) has shown us that under certain conditions, a sparse signal can be recovered from a small number of linear incoherent measurements. An effective class of reconstruction algorithms involve solving a convex optimization program that balances the 1 norm of the solution against a data fidelity term. Tremendous progress has been made in recent years on algorithms for solving these 1 minimization programs. These algorithms, however, are for the most part static… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 37 references

The DASSO algorithm for fitting the Dantzig selector and the Lasso

  • G James, P Radchenko, J Lv
  • Journal of the Royal Statistical Society, Series…
  • 2009
1 Excerpt

Primal Dual Pursuit: A homotopy based algorithm for the Dantzig selector

  • M S Asif
  • Primal Dual Pursuit: A homotopy based algorithm…
  • 2008
3 Excerpts

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