Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28276
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPeelman, Semen_UK
dc.contributor.authorVan der Herten, Joachimen_UK
dc.contributor.authorDe Vos, Maartenen_UK
dc.contributor.authorLee, Wen-shinen_UK
dc.contributor.authorVan Huffel, Sabineen_UK
dc.contributor.authorCuyt, Annieen_UK
dc.date.accessioned2018-11-22T01:01:27Z-
dc.date.available2018-11-22T01:01:27Z-
dc.date.issued2013-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/28276-
dc.description.abstractParametric methods for modeling sinusoidal signals with line spectra have been studied for decades. In general, these methods start by representing each sinusoidal component by means of two complex exponential functions, thereby doubling the number of unknown parameters. Recently, a Hankel-plus-Toeplitz matrix pencil method was proposed which directly models sinusoidal signals with discrete spectral content. Compared to its counterpart, which uses a Hankel matrix pencil, it halves the required number of time-domain samples and reduces the size of the involved linear systems. The aim of this paper is twofold. Firstly, to show that this Hankel-plus-Toeplitz matrix pencil also applies to continuous spectra. Secondly, to explore its use in the reconstruction of real-life signals. Promising preliminary results in the recon- struction of correlated multichannel electroencephalographic (EEG) activity are presented. A principal component analysis preprocessing step is carried out to exploit the redundancy in the channel domain. Then the reduced signal representation is successfully reconstructed from fewer samples using the Hankel-plus-Toeplitz matrix pencil. The obtained results encourage the future development of this matrix pencil method along the lines of well-established spectral analysis methods.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationPeelman S, Van der Herten J, De Vos M, Lee W, Van Huffel S & Cuyt A (2013) Sparse reconstruction of correlated multichannel activity. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 03.07.2013-07.07.2013. Piscataway, NJ, USA: IEEE, pp. 3897-3900. https://doi.org/10.1109/EMBC.2013.6610396en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectElectroencephalographyen_UK
dc.subjectInterpolationen_UK
dc.subjectPrincipal component analysisen_UK
dc.subjectSparse matricesen_UK
dc.subjectBrain modelsen_UK
dc.titleSparse reconstruction of correlated multichannel activityen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[13-120.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1109/EMBC.2013.6610396en_UK
dc.identifier.pmid24110583en_UK
dc.citation.issn1094-687Xen_UK
dc.citation.spage3897en_UK
dc.citation.epage3900en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderResearch Foundation - Flandersen_UK
dc.author.emailwen-shin.lee@stir.ac.uken_UK
dc.citation.btitle2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)en_UK
dc.citation.conferencedates2013-07-03 - 2013-07-07en_UK
dc.citation.conferencelocationOsaka, Japanen_UK
dc.citation.conferencename35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013)en_UK
dc.citation.date26/09/2013en_UK
dc.citation.isbn978-1-4577-0216-7en_UK
dc.publisher.addressPiscataway, NJ, USAen_UK
dc.contributor.affiliationUniversity of Antwerpen_UK
dc.contributor.affiliationUniversity of Antwerpen_UK
dc.contributor.affiliationKU Leuvenen_UK
dc.contributor.affiliationUniversity of Antwerpen_UK
dc.contributor.affiliationKU Leuvenen_UK
dc.contributor.affiliationUniversity of Antwerpen_UK
dc.identifier.isi000341702104086en_UK
dc.identifier.scopusid2-s2.0-84886466629en_UK
dc.identifier.wtid1046026en_UK
dc.contributor.orcid0000-0002-2808-3739en_UK
dc.date.accepted2013-04-06en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

Files in This Item:
File Description SizeFormat 
13-120.pdfFulltext - Published Version1.55 MBAdobe PDFUnder Permanent Embargo    Request a copy


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.