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dc.contributor.authorCai, Jian-Feng
dc.contributor.authorXu, Weiyu
dc.contributor.authorYang, Yang
dc.date.accessioned2017-10-04T14:59:17Z
dc.date.available2017-10-04T14:59:17Z
dc.date.issued2017-06-20
dc.identifier.citationCai J-F, Xu W, Yang Y (2017) Large scale 2D spectral compressed sensing in continuous domain. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/icassp.2017.7953289.
dc.identifier.doi10.1109/icassp.2017.7953289
dc.identifier.urihttp://hdl.handle.net/10754/625802
dc.description.abstractWe consider the problem of spectral compressed sensing in continuous domain, which aims to recover a 2-dimensional spectrally sparse signal from partially observed time samples. The signal is assumed to be a superposition of s complex sinusoids. We propose a semidefinite program for the 2D signal recovery problem. Our model is able to handle large scale 2D signals of size 500 × 500, whereas traditional approaches only handle signals of size around 20 × 20.
dc.description.sponsorshipJFC is supported in part by Grant 16300616 of Hong Kong Research Grants Council. Weiyu Xu is supported by the Simons Foundation 318608 , KAUST OCRF-2014-CRG-3, NSF DMS-1418737 and NIH lROlEB020665-01
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectCompressed sensing
dc.subjectsparse recovery
dc.subjectToeplitz matrices
dc.subjectmatrix completion
dc.titleLarge scale 2D spectral compressed sensing in continuous domain
dc.typeConference Paper
dc.identifier.journal2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.contributor.institutionDepartment of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242 USA
dc.contributor.institutionDepartment of Mathematics, University of Iowa, Iowa City, IA 52242 USA
kaust.grant.numberOCRF-2014-CRG-3
dc.date.published-online2017-06-20
dc.date.published-print2017-03


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