Output details
15 - General Engineering
University of Edinburgh (joint submission with Heriot-Watt University)
Return to search
Output 0 of 0 in the submission
Article title
Rank Awareness in Joint Sparse Recovery
Type
D - Journal article
Title of journal
IEEE Transactions on Information Theory
Article number
-
Volume number
58
Issue number
2
First page of article
1135
ISSN of journal
0018-9448
Year of publication
2012
Number of additional authors
1
Additional information
This work stemmed from an invited international research visit to Technion, Israel (Eldar) and developed new theory and algorithms for the sparse multiple measurement recovery problem. This arises in a number of important compressed sensing (CS) applications such as sub-Nyquist analogue-to-digital systems, e.g. DoI:10.1109/TSP.2009.2012791. The work in this paper has subsequently been adopted by the CS community: e.g. KAIST, Korea, DoI:10.1109/TIT.2011.2171529; and Switzerland DoI:10.1109/TCOMM.2012.091112.110439. The work contributed directly to the award of the 5-year EPSRC-DSTL programme grant “University Defence Research Centre” EP/K014277/1 (£3.8M): Signal Processing for the Network Battlespace.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
B - Sensors, Signals & Systems
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
