Michaël Unser, Emrah Bostan, Ulugbek Kamilov, Masih Nilchian
We present a novel statistically-based discretization paradigm and derive a class of maximum a posteriori (MAP) estimators for solving ill-conditioned linear inverse problems. We are guided by the theory of sparse stochastic processes, which specifies cont ...
Ieee-Inst Electrical Electronics Engineers Inc2013