Achieving super-resolution in multi-rate sampling systems via efficient semidefinite programming
Achieving super-resolution in multi-rate sampling systems via efficient semidefinite programming
Super-resolution theory aims to estimate the discrete components lying in a continuous space that constitute a sparse signal with optimal precision. This work investigates the potential of recent super-resolution techniques for spectral estimation in multi-rate sampling systems. It shows that, under the existence of a common supporting grid, and under …