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Zhu, Rong, Li, Guangshun, Guo, Ying (2019) Compressed-Sensing-based Gradient Reconstruction for Ghost Imaging. International Journal of Theoretical Physics, 58 (4). 1215-1226 doi:10.1007/s10773-019-04013-x

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Reference TypeJournal (article/letter/editorial)
TitleCompressed-Sensing-based Gradient Reconstruction for Ghost Imaging
JournalInternational Journal of Theoretical Physics
AuthorsZhu, RongAuthor
Li, GuangshunAuthor
Guo, YingAuthor
Year2019 (April)Volume58
Issue4
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10773-019-04013-xSearch in ResearchGate
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Mindat Ref. ID8959260Long-form Identifiermindat:1:5:8959260:7
GUID0
Full ReferenceZhu, Rong, Li, Guangshun, Guo, Ying (2019) Compressed-Sensing-based Gradient Reconstruction for Ghost Imaging. International Journal of Theoretical Physics, 58 (4). 1215-1226 doi:10.1007/s10773-019-04013-x
Plain TextZhu, Rong, Li, Guangshun, Guo, Ying (2019) Compressed-Sensing-based Gradient Reconstruction for Ghost Imaging. International Journal of Theoretical Physics, 58 (4). 1215-1226 doi:10.1007/s10773-019-04013-x
In(2019, April) International Journal of Theoretical Physics Vol. 58 (4) Springer Science and Business Media LLC

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