Weighted ${\ell }_1$-Minimization for Sparse Recovery under Arbitrary Prior Information

Deanna Needell, Rayan Saab, Tina Woolf

Weighted ${\ell }_1$-minimization has been studied as a technique for the reconstruction of a sparse signal from compressively sampled measurements when prior information about the si…