2020
Joint Sparse Recovery Using Deep Unfolding With Application to Massive Random Access
ICASSP 2020accepted
We propose a learning-based joint sparse recovery method for the multiple measurement vector (MMV) problem using deep unfolding. We unfold an iterative alternating direction method of multipliers (ADM) algorithm for MMV joint sparse recovery algorithm into a trainable deep network. This ADM algorith…