8 citations · 20 across the 4 of their papers we have counts for
4 papers
Maximin Analysis of Message Passing Algorithms for Recovering Block Sparse Signals
Armeen Taeb, Arian Maleki, Christoph Studer +1
We consider the problem of recovering a block (or group) sparse signal from an underdetermined set of random linear measurements, which appear in compressed sensing applications su…
Deterministic Bounds for Restricted Isometry of Compressed Sensing Matrices
Shriram Sarvotham, Richard G. Baraniuk
Compressed Sensing (CS) is an emerging field that enables reconstruction of a sparse signal that has only non-zero coefficients from a small number…
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…