Stochastic greedy algorithms for multiple measurement vectors
Stochastic greedy algorithms for multiple measurement vectors
<p style='text-indent:20px;'>Sparse representation of a single measurement vector (SMV) has been explored in a variety of compressive sensing applications. Recently, SMV models have been extended to solve multiple measurement vectors (MMV) problems, where the underlying signal is assumed to have joint sparse structures. To circumvent the NP-hardness of the <inline-formula><tex-math …