1-bit Hamming compressed sensing

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dc.contributor.author Zhou, T
dc.contributor.author Tao, D
dc.date.accessioned 2014-04-03T01:23:26Z
dc.date.issued 2012
dc.identifier.citation IEEE International Symposium on Information Theory - Proceedings, 2012, pp. 1862 - 1866
dc.identifier.isbn 9781467325790
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/22945
dc.description.abstract Compressed sensing (CS) and 1-bit CS cannot directly recover quantized signals preferred in digital systems and require time consuming recovery. In this paper, we introduce 1-bit Hamming compressed sensing (HCS) that directly recovers a k-bit quantized signal of dimension n from its 1-bit measurements via invoking n times of Kullback-Leibler divergence based nearest neighbor search. Compared to CS and 1-bit CS, 1-bit HCS allows the signal to be dense, takes considerably less (linear and non-iterative) recovery time and requires substantially less measurements. Moreover, 1-bit HCS can accelerate 1bit CS recover. We study a quantized recovery error bound of 1-bit HCS for general signals. Extensive numerical simulations verify the appealing accuracy, robustness, efficiency and consistency of 1-bit HCS. © 2012 IEEE.
dc.relation.isbasedon 10.1109/ISIT.2012.6283603
dc.title 1-bit Hamming compressed sensing
dc.type Conference Proceeding
dc.parent IEEE International Symposium on Information Theory - Proceedings
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.publocation USA
dc.identifier.startpage 1862 en_US
dc.identifier.endpage 1866 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference 35th Annual Conference of the IEEE Engineering in Medicine and Biology Society
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 111502
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE International Symposium on Information Theory en_US
dc.date.activity 20120701 en_US
dc.date.activity 2013-07-03
dc.location.activity Cambridge, USA en_US
dc.location.activity Osaka, Japan
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)


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