48 citations · 175 across the 26 of their papers we have counts for
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cs.IT2010
The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing
Galen Reeves, Michael Gastpar
Recovery of the sparsity pattern (or support) of an unknown sparse vector from a limited number of noisy linear measurements is an important problem in compressed sensing. In the h…
cs.IT2010★ 6 cited
Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds
Galen Reeves, Michael Gastpar
Recovery of the sparsity pattern (or support) of an unknown sparse vector from a small number of noisy linear measurements is an important problem in compressed sensing. In this pa…
cs.IT2010
"Compressed" Compressed Sensing
Galen Reeves, Michael Gastpar
The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small number of randomly constructed linear projections (or s…