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20152022
most citedStructured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning

64 citations · 89 across the 16 of their papers we have counts for

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cs.IT2017★ 7 cited

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach

Weiyu Xu, Jirong Yi, Soura Dasgupta +3

We consider the problem of recovering the superposition of distinct complex exponential functions from compressed non-uniform time-domain samples. Total Variation (TV) minimiza…

cs.IT2016

Structured low-rank recovery of piecewise constant signals with performance guarantees

Greg Ongie, Sampurna Biswas, Mathews Jacob

We derive theoretical guarantees for the exact recovery of piecewise constant two-dimensional images from a minimal number of non-uniform Fourier samples using a convex matrix comp…