Stable Recovery of Sparse Signals Via Regularized Minimization

  • Authors:

  • Chenwei Zhu

  • Affiliations:

  • Program in Appl. & Comput. Math., Princeton Univ., Princeton, NJ

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 2008

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Abstract

Suppose we want to recover a vector x0isinRm from incomplete and contaminated measurements y=Ax0+e, where A is a p by m matrix, p