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dc.contributor.authorMuñoz, Sergio D.
dc.contributor.authorHormigo-Aguilar, Javier 
dc.date.accessioned2015-06-29T10:08:51Z
dc.date.available2015-06-29T10:08:51Z
dc.date.created2015-04
dc.date.issued2015-06-29
dc.identifier.urihttp://hdl.handle.net/10630/9971
dc.description.abstractQR decomposition is a key operation in many current communication systems. This paper shows how to reduce the area of a fixed-point QR decomposition implementation based on Givens rotations by using a new number representation system. This new representation allows performing round-tonearest at the same cost of truncation. Consequently, the rounding errors of the results are halved, which allows it to reduce the word-length by one bit. This reduction positively impacts on the area, delay and power consumption of the design.es_ES
dc.description.sponsorshipMinistry of Education and Science of Spain and Junta of Andalucía under contracts TIN2013-42253-P and TIC-1692, respectively, and Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectArquitectura de ordenadoreses_ES
dc.subject.otherCORDICes_ES
dc.subject.otherHUB formates_ES
dc.subject.otherMIMOes_ES
dc.subject.otherAdaptative filterses_ES
dc.subject.otherFixed-point optimizationes_ES
dc.titleImproving Fixed-Point Implementation of QR Decomposition by Rounding-to-Nearestes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitle19th IEEE International Symposium on Consumer Electronics ISCE 2015es_ES
dc.relation.eventplaceMadrides_ES
dc.relation.eventdate24 de Junio de 2015es_ES
dc.identifier.orcidhttps://orcid.org/0000-0002-5454-6821es_ES
dc.cclicenseby-nc-ndes_ES


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