Covariance Estimation from Compressive Data Partitions using a Projected Gradient-based Algorithm

Jonathan Monsalve, Juan Ramirez, Iñaki Esnaola +1

Compressive covariance estimation has arisen as a class of techniques whose aim is to obtain second-order statistics of stochastic processes from compressive measurements. Recently…