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20142023
most citedA Novel Regularization Based on the Error Function for Sparse Recovery

32 citations · 70 across the 11 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

eess.SP2017★ 1 cited

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors

Natalie Durgin, Rachel Grotheer, Chenxi Huang +4

While single measurement vector (SMV) models have been widely studied in signal processing, there is a surging interest in addressing the multiple measurement vectors (MMV) problem…

math.OC2017★ 8 cited

Stochastic Greedy Algorithms For Multiple Measurement Vectors

Jing Qin, Shuang Li, Deanna Needell +4

Sparse representation of a single measurement vector (SMV) has been explored in a variety of compressive sensing applications. Recently, SMV models have been extended to solve mult…