dc.contributor.author | Weerasinghe, Thilina Nuwan | |
dc.contributor.author | Romero, Daniel | |
dc.contributor.author | Asensio-Marco, César | |
dc.contributor.author | Beferull-Lozano, Baltasar | |
dc.date.accessioned | 2019-04-24T06:31:00Z | |
dc.date.available | 2019-04-24T06:31:00Z | |
dc.date.created | 2018-10-11T12:53:19Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-1-5386-4658-8 | |
dc.identifier.uri | http://hdl.handle.net/11250/2595138 | |
dc.description.abstract | A significant number of linear inference problems in wireless sensor networks can be solved by projecting the observed signal onto a given subspace. Decentralized approaches avoid the need for performing such an operation at a central processor, thereby reducing congestion and increasing the robustness and the scalability of the network. Unfortunately, existing decentralized approaches either confine themselves to a reduced family of subspace projection tasks or need an infinite number of iterations to obtain the exact projection. To remedy these limitations, this paper develops a framework for computing a wide class of subspace projections in a decentralized fashion by relying on the notion of graph filtering. To this end, a methodology to obtain the shift matrix and the corresponding filter coefficients that provide exact subspace projection in a nearly minimal number of iterations is proposed. Numerical experiments corroborate the merits of the proposed approach. | nb_NO |
dc.description.abstract | Fast Distributed Subspace Projection via Graph Filters | nb_NO |
dc.language.iso | eng | nb_NO |
dc.relation.ispartof | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | |
dc.title | Fast Distributed Subspace Projection via Graph Filters | nb_NO |
dc.type | Chapter | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 4639-4643 | nb_NO |
dc.identifier.doi | 10.1109/ICASSP.2018.8462110 | |
dc.identifier.cristin | 1619658 | |
dc.relation.project | Universitetet i Agder: Wisenet | nb_NO |
dc.relation.project | Norges forskningsråd: 244205 | nb_NO |
dc.relation.project | Norges forskningsråd: 237896 | nb_NO |
dc.relation.project | Norges forskningsråd: 250910 | nb_NO |
dc.description.localcode | Nivå1 | nb_NO |
cristin.unitcode | 201,15,4,0 | |
cristin.unitname | Institutt for informasjons- og kommunikasjonsteknologi | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |