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An Extended Block Restricted Isometry Property for Sparse Recovery with Non-Gaussian Noise
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 Science and Technology, Department of Mathematics and Mathematical Statistics. (Mathematical Statistics)ORCID iD: 0000-0001-5673-620X
2018 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2018.
Keywords [en]
Compressive sensing, block restricted isometry property, sparse recovery, non-Gaussian noise
National Category
Probability Theory and Statistics Signal Processing Medical Image Processing
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-154629OAI: oai:DiVA.org:umu-154629DiVA, id: diva2:1273280
Conference
COMPSTAT 2018 - August 28-31, Iasi, Rumania
Projects
Statistical modelling and intelligent data sampling in MRI and PET measurements for cancer therapy assessment
Funder
Swedish Research Council, 340-2013-534Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2018-12-20

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Leffler, KlaraZhou, Zhiyong

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Leffler, KlaraZhou, ZhiyongYu, Jun
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CiteExportLink to record
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