Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, Nirav Bhan
Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. The main promise of these models is the recovery of ``interpretable" signals along with ...
Institute of Electrical and Electronics Engineers2016
