2018
Low-Rank and Joint-Sparse Signal Recovery for Spatially and Temporally Correlated Data Using Sparse Bayesian Learning
ICASSP 2018accepted
In order to meet the demands of data-intensive continuous monitoring in wireless body area network, we address a structured sparse signal recovery method to exploit both spatial and temporal correlations in data using compressive sensing (CS). Using a simultaneously low-rank and joint-sparse (L&S) s…