Marie-Line Chabanol

Learn More
In this paper, we investigate the theoretical guarantees of penalized ℓ 1-minimization (also called Basis Pursuit Denoising or Lasso) in terms of sparsity pattern recovery (support and sign consistency) from noisy measurements with non-necessarily random noise, when the sensing operator belongs to the Gaussian ensemble (i.e. random design matrix with i.i.d.(More)
  • 1