\label{fig:NumericsScheme} General scheme for the recovery of a sparse matrix \(A\) via compressed sensing.  Rather than sampling \(A\) directly, the key is to sample the matrix \(B\) which corresponds to \(A\) expressed in an different (known) basis.  Recovery of \(A\) from the undersampled entries of \(B\) proceeds via compressed sensing by solving eq.~\ref{eq:bpdn}.