Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach

M. Eren Ahsen, M. Vidyasagar

In compressed sensing, in order to recover a sparse or nearly sparse vector from possibly noisy measurements, the most popular approach is ${\ell }_1$-norm minimization. Upper bounds…