Paper Info
Title
Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements.
Abstract
We investigate recovery of nonnegative vectors from non-adaptive compressive measurements in the presence of noise of unknown power. In the absence of noise, existing results in the literature identify properties of the measurement that assure uniqueness in the non-negative orthant. By linking such uniqueness results to nullspace properties, we deduce uniform and robust compressed sensing guarante...
Year
DOI
Venue
2018
10.1109/TIT.2017.2746620
IEEE Transactions on Information Theory
Keywords
DocType
Volume
Noise measurement,Robustness,Sparse matrices,Receivers,Compressed sensing,Wireless networks
Journal
64
Issue
ISSN
Citations 
2
0018-9448
10
PageRank 
References 
Authors
0.68
18
2
Name
Order
Citations
PageRank
Richard Kueng1908.91
Peter Jung215423.80