Mixture of set membership filters approach for big data signal processing

dc.citation.epage1220en_US
dc.citation.spage1217en_US
dc.contributor.authorKılıç, O. Fatihen_US
dc.contributor.authorSayın, M. Ömeren_US
dc.contributor.authorDelibalta, İ.en_US
dc.contributor.authorKozat, Süleyman Serdaren_US
dc.coverage.spatialZonguldak, Turkeyen_US
dc.date.accessioned2018-04-12T11:48:31Z
dc.date.available2018-04-12T11:48:31Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 16-19 May 2016en_US
dc.descriptionConference Name: IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016en_US
dc.description.abstractIn this work, we propose a new approach for mixture of adaptive filters based on set-membership filters (SMF) which is specifically designated for big data signal processing applications. By using this approach, we achieve significantly reduced computational load for the mixture methods with better performance in convergence rate and steady-state error with respect to conventional mixture methods. Finally, we approve these statements with the simulations done on produce data.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:48:31Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1109/SIU.2016.7495965en_US
dc.identifier.urihttp://hdl.handle.net/11693/37703
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2016.7495965en_US
dc.source.titleProceedings of the IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016en_US
dc.subjectAffine combinationen_US
dc.subjectBig dataen_US
dc.subjectComputational efficiencyen_US
dc.subjectConvex combinationen_US
dc.subjectMixture of expertsen_US
dc.subjectSet-membership filteringen_US
dc.titleMixture of set membership filters approach for big data signal processingen_US
dc.title.alternativeBüyük veri sinyal işlemesi için küme üyeliği süzgeç birleşimi yaklaşımıen_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Mixture of set membership filters approach for big data signal processing [Btiytik Veri Sinyal Ilemesi için Ktime Uyeligi Stizgeç Birlesimi Yaklasimi].pdf
Size:
526.05 KB
Format:
Adobe Portable Document Format
Description:
Full printable version