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dc.contributor.authorCho, Myung
dc.contributor.authorCai, Jian-Feng
dc.contributor.authorLiu, Suhui
dc.contributor.authorEldar, Yonina C.
dc.contributor.authorXu, Weiyu
dc.date.accessioned2017-05-15T10:35:07Z
dc.date.available2017-05-15T10:35:07Z
dc.date.issued2016-06-24
dc.identifier.citationCho M, Cai J-F, Liu S, Eldar YC, Xu W (2016) Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/icassp.2016.7472556.
dc.identifier.doi10.1109/icassp.2016.7472556
dc.identifier.urihttp://hdl.handle.net/10754/623543
dc.description.abstractWe propose fast algorithms that speed up or improve the performance of recovering spectrally sparse signals from un-derdetermined measurements. Our algorithms are based on a non-convex approach of using alternating projected gradient descent for structured matrix recovery. We apply this approach to two formulations of structured matrix recovery: Hankel and Toeplitz mosaic structured matrix, and Hankel structured matrix. Our methods provide better recovery performance, and faster signal recovery than existing algorithms, including atomic norm minimization.
dc.description.sponsorshipThe work of W. Xu was supported by Simons Foundation, Iowa Energy Center, KAUST, NIH 1R01EB020665-01.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectmatrix completion
dc.subjectcompressed sensing
dc.subjectatomic norm
dc.subjectsparse recovery
dc.subjectspectral estimation
dc.titleFast alternating projected gradient descent algorithms for recovering spectrally sparse signals
dc.typeConference Paper
dc.identifier.journal2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.conference.date2016-03-20 to 2016-03-25
dc.conference.name41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
dc.conference.locationShanghai, CHN
dc.contributor.institutionDept. of ECE, University of Iowa, Iowa City, IA, 52242
dc.contributor.institutionDept. of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
dc.contributor.institutionDept. of Mathematics, University of Iowa, Iowa City, IA, 52242
dc.contributor.institutionDept. of EE, Technion–Israel Institute of Technology, Haifa, Israel


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