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001     818027
005     20241028085315.0
024 7 _ |2 arXiv
|a arXiv:2010.15658.v4
024 7 _ |2 DOI
|a 10.48550/ARXIV.2010.15658.v4
037 _ _ |a RWTH-2021-04259
041 _ _ |a English
100 1 _ |0 P:(DE-82)IDM01305
|a Behboodi, Arash
|b 0
|e Corresponding author
|u rwth
245 _ _ |a Compressive Sensing and Neural Networks from a Statistical Learning Perspective
|h online
260 _ _ |c 2020
260 _ _ |c 2021
300 _ _ |a 29 Seiten
336 7 _ |0 28
|2 EndNote
|a Electronic Article
336 7 _ |0 PUB:(DE-HGF)25
|2 PUB:(DE-HGF)
|a Preprint
|b preprint
|m preprint
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
|a preprint
336 7 _ |2 DataCite
|a Output Types/Working Paper
336 7 _ |2 ORCID
|a WORKING_PAPER
500 _ _ |a Submitted on 29 Oct 2020 (v1), last revised 13 Aug 2021 (this version, v4)
591 _ _ |a Germany
653 _ 7 |a Deep thresholding networks
700 1 _ |0 P:(DE-82)IDM00281
|a Rauhut, Holger
|b 1
|e Corresponding author
|u rwth
700 1 _ |0 P:(DE-82)IDM04594
|a Schnoor, Ekkehard
|b 2
|e Corresponding author
|u rwth
909 C O |o oai:publications.rwth-aachen.de:818027
|p VDB
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910 1 _ |0 I:(DE-588b)36225-6
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910 1 _ |0 I:(DE-588b)36225-6
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914 1 _ |y 2020
915 _ _ |0 LIC:(DE-HGF)PublisherOA
|2 HGFVOC
|a Free to read
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
920 1 _ |0 I:(DE-82)114510_20190627
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|l Lehrstuhl für Mathematik der Informationsverarbeitung
|x 0
920 1 _ |0 I:(DE-82)110000_20140620
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|l Fachgruppe Mathematik
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920 1 _ |0 I:(DE-82)613410_20140620
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|l Lehrstuhl und Institut für Theoretische Informationstechnik
|x 2
980 _ _ |a I:(DE-82)110000_20140620
980 _ _ |a I:(DE-82)114510_20190627
980 _ _ |a I:(DE-82)613410_20140620
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a preprint


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