Accelerating gradient projection methods for ${\ell }_1$-constrained signal recovery by steplength selection rules

I. Loris, M. Bertero, C. De Mol +2

We propose a new gradient projection algorithm that compares favorably with the fastest algorithms available to date for ${\ell }_1$-constrained sparse recovery from noisy data, both…