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dc.contributor.author
Ma, Boxiao
dc.contributor.author
Zalmai, Nour
dc.contributor.author
Loeliger, Hans-Andrea
dc.date.accessioned
2020-03-09T09:21:36Z
dc.date.available
2020-03-09T09:21:36Z
dc.date.issued
2018
dc.identifier.isbn
978-1-5386-4658-8
en_US
dc.identifier.isbn
978-1-5386-4657-1
en_US
dc.identifier.isbn
978-1-5386-4659-5
en_US
dc.identifier.other
10.1109/ICASSP.2018.8461528
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/403890
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Tomographic reconstruction
en_US
dc.subject
Multi-resolution
en_US
dc.subject
NUV
en_US
dc.subject
Computational complexity
en_US
dc.title
A Multi-Resolution Approach to Complexity Reduction in Tomographic Reconstruction
en_US
dc.type
Conference Paper
dc.date.published
2018-09-13
ethz.book.title
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
en_US
ethz.pages.start
6518
en_US
ethz.pages.end
6522
en_US
ethz.event
43th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)
en_US
ethz.event.location
Calgary, Canada
en_US
ethz.event.date
April 15-20, 2018
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02639 - Inst. f. Signal- und Informationsverarb. / Signal and Information Processing Lab.::03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02639 - Inst. f. Signal- und Informationsverarb. / Signal and Information Processing Lab.::03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea
ethz.date.deposited
2018-08-29T09:42:29Z
ethz.source
SCOPUS
ethz.source
WOS
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-03-09T09:21:46Z
ethz.rosetta.lastUpdated
2020-06-16T12:57:53Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/295645
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/302112
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/305530
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/285335
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20Multi-Resolution%20Approach%20to%20Complexity%20Reduction%20in%20Tomographic%20Reconstruction&rft.date=2018&rft.spage=6518&rft.epage=6522&rft.au=Ma,%20Boxiao&Zalmai,%20Nour&Loeliger,%20Hans-Andrea&rft.isbn=978-1-5386-4658-8&978-1-5386-4657-1&978-1-5386-4659-5&rft.genre=proceeding&rft_id=info:doi/10.1109/ICASSP.2018.8461528&rft.btitle=2018%20IEEE%20International%20Conference%20on%20Acoustics,%20Speech%20and%20Signal%20Processing%20(ICASSP)
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