5 citations · 9 across the 3 of their papers we have counts for
3 papers
Distributed Compressive Sensing
Dror Baron, Marco F. Duarte, Michael B. Wakin +2
Compressive sensing is a signal acquisition framework based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stabl…
Bayesian Compressive Sensing via Belief Propagation
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N…
Optimal sampling strategies for multiscale stochastic processes
Vinay J. Ribeiro, Rudolf H. Riedi, Richard G. Baraniuk
In this paper, we determine which non-random sampling of fixed size gives the best linear predictor of the sum of a finite spatial population. We employ different multiscale superp…