2016
Fusion of algorithms for multiple measurement vectors
ICASSP 2016accepted
We consider the recovery of sparse signals that share a common support from multiple measurement vectors. The performance of several algorithms developed for this task depends on parameters like dimension of the sparse signal, dimension of measurement vector, sparsity level, measurement noise. We pr…