2.5k citations · 3.3k across the 61 of their papers we have counts for
3 papers · 2 filters
From compression to compressed sensing
Shirin Jalali, Arian Maleki
Can compression algorithms be employed for recovering signals from their underdetermined set of linear measurements? Addressing this question is the first step towards applying com…
Minimum Complexity Pursuit for Universal Compressed Sensing
Shirin Jalali, Arian Maleki, Richard Baraniuk
The nascent field of compressed sensing is founded on the fact that high-dimensional signals with "simple structure" can be recovered accurately from just a small number of randomi…
Minimum Complexity Pursuit: Stability Analysis
Shirin Jalali, Arian Maleki, Richard Baraniuk
A host of problems involve the recovery of structured signals from a dimensionality reduced representation such as a random projection; examples include sparse signals (compressive…