Show simple item record

dc.contributor.authorLópez Valcarce, Roberto
dc.contributor.authorSilva Pereira, Silvana
dc.contributor.authorPagès Zamora, Alba Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2014-11-10T18:41:43Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationLópez, R.; Silva-Pereira, S.; Pages, A. Distributed Total Least Squares estimation over networks. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014". Florència: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 7580-7584.
dc.identifier.isbn978-1-4799-2894-1
dc.identifier.urihttp://hdl.handle.net/2117/24657
dc.description.abstractWe consider Total Least Squares (TLS) estimation in a network in which each node has access to a subset of equations of an overdetermined linear system. Previous distributed approaches require that the number of equations at each node be larger than the dimension L of the unknown parameter. We present novel distributed TLS estimators which can handle as few as a single equation per node. In the first scheme, the network computes an extended correlation matrix via standard iterative average consensus techniques, and the TLS estimate is extracted afterwards by means of an eigenvalue decomposition (EVD). The second scheme is EVD-free, but requires that a linear system of size L be solved at each iteration by each node. Replacing this step by a single Gauss-Seidel subiteration is shown to be an effective means to reduce computational cost without sacrificing performance.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshWireless communication systems
dc.subject.lcshLeast squares
dc.subject.otherDistributed estimation
dc.subject.otherTotal Least Squares
dc.subject.otherWireless sensor networks
dc.titleDistributed Total Least Squares estimation over networks
dc.typeConference report
dc.subject.lemacComunicació sense fil, Sistemes de
dc.subject.lemacMínims quadrats
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1109/ICASSP.2014.6855074
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6855074
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15228641
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorLópez, R.; Silva-Pereira, S.; Pages, A.
upcommons.citation.contributorIEEE International Conference on Acoustics, Speech, and Signal Processing
upcommons.citation.pubplaceFlorència
upcommons.citation.publishedtrue
upcommons.citation.publicationName2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014
upcommons.citation.startingPage7580
upcommons.citation.endingPage7584


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder