Iteratively re-weighted least squares for sparse signal reconstruction from noisy measurements

@article{Carrillo2009IterativelyRL,
  title={Iteratively re-weighted least squares for sparse signal reconstruction from noisy measurements},
  author={Rafael E. Carrillo and Kenneth E. Barner},
  journal={2009 43rd Annual Conference on Information Sciences and Systems},
  year={2009},
  pages={448-453}
}
Finding sparse solutions of under-determined systems of linear equations is a problem of significance importance in signal processing and statistics. In this paper we study an iterative reweighted least squares (IRLS) approach to find sparse solutions of underdetermined system of equations based on smooth approximation of the L0 norm and the method is… CONTINUE READING

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