Irregular spatial sampling and rank reduction: interpolation by joint low-rank and sparse inversion
Irregular spatial sampling and rank reduction: interpolation by joint low-rank and sparse inversion
Until now, noise attenuation and interpolation processes based on rank reduction needed spatially regular, or at least binned, data. Here, we show how the low-rank signal model in joint low-rank and sparse inversion (JLRSI), a recently proposed convex optimization framework for simultaneous random plus ...