8 citations · 20 across the 4 of their papers we have counts for
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cs.IT2013★ 8 cited
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…
cs.IT2011★ 3 cited
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…
cs.IT2008★ 5 cited
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…