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Bayesian sparsity estimation in compressivesensing with application to MR images
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
(English)Manuscript (preprint) (Other academic)
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-140441OAI: oai:DiVA.org:umu-140441DiVA, id: diva2:1148592
Projects
Statistical modelling and intelligent data sampling in MRI and PET measurements for cancer therapy assessmentAvailable from: 2017-10-11 Created: 2017-10-11 Last updated: 2017-11-01

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https://arxiv.org/abs/1710.04030
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Department of Mathematics and Mathematical StatisticsDepartment of Radiation Sciences
Probability Theory and Statistics

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Total: 27 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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Output format
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