A Globally Convergent Matricial Algorithm for Multivariate Spectral Estimation
dc.contributor.author
Ramponi, Federico
dc.contributor.author
Ferrante, Augusto
dc.contributor.author
Pavon, Michele
dc.date.accessioned
2017-06-11T08:39:49Z
dc.date.available
2017-06-11T08:39:49Z
dc.date.issued
2009
dc.identifier.issn
0018-9286
dc.identifier.issn
1558-2523
dc.identifier.other
10.1109/TAC.2009.2028977
dc.identifier.uri
http://hdl.handle.net/20.500.11850/84290
dc.language.iso
en
dc.publisher
IEEE
dc.subject
Convex optimization
dc.subject
Global convergence
dc.subject
Hellinger distance
dc.subject
Matricial Newton algorithm
dc.subject
Multivariable spectrum approximation
dc.subject
Spectral estimation
dc.title
A Globally Convergent Matricial Algorithm for Multivariate Spectral Estimation
dc.type
Journal Article
ethz.journal.title
IEEE Transactions on Automatic Control
ethz.journal.volume
54
ethz.journal.issue
10
ethz.journal.abbreviated
IEEE trans. automat. contr
ethz.pages.start
2376
ethz.pages.end
2388
ethz.identifier.wos
ethz.identifier.nebis
000037341
ethz.publication.place
New York, NY
ethz.publication.status
published
ethz.date.deposited
2017-06-11T08:42:22Z
ethz.source
ECIT
ethz.identifier.importid
imp593651e9b084082213
ethz.ecitpid
pub:132949
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-12T16:55:58Z
ethz.rosetta.lastUpdated
2020-02-14T13:39:32Z
ethz.rosetta.versionExported
true
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