Hello
Sorry to take your time
Is it possible to use cvx with sparse recovery of multiple measurement vector ?
thanks for any help
This is not the appropriate forum to get help in formulating an optimization problem to address your real world problem.
Nevertheless, there are convex optimization problems to address sparse recovery which could be formulated in terms of one-norms, for example, and which can be formulated and solved in CVX.
Zero-norms are non-convex, so could only be handled in CVX, if at all, via use of integer capability (MIDCP), but of course could be very computationally demanding. One-norm is often used in lieu of zero-norm due to it being convex and easy computationally.