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dc.contributor.authorSayın, Muhammed Ö.en_US
dc.contributor.authorKozat, Süleyman Serdaren_US
dc.coverage.spatialTrabzon, Turkeyen_US
dc.date.accessioned2016-02-08T11:50:14Z
dc.date.available2016-02-08T11:50:14Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/11693/27308
dc.descriptionDate of Conference: 23-25 April 2014en_US
dc.descriptionConference Name: 22nd Signal Processing and Communications Applications Conference, IEEE 2014en_US
dc.description.abstractIn this paper, we present a complete performance analysis of the scalar diffusion strategies over distributed networks. Scalar diffusion strategies are based on the diffusion implementation and adaptive extraction of the information from the diffusion data which is compressed into a scalar. This strategy require significantly less communication load while achieving similar performance with the full information exchange configuration. Here, we provide the transient and steady-state analysis of the scalar diffusion strategies for Gaussian regressors. Finally, in the numerical examples, we demonstrate that the theoretical results match with the simulation results.en_US
dc.language.isoTurkishen_US
dc.source.titleProceedings of the 22nd Signal Processing and Communications Applications Conference, IEEE 2014en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2014.6830542en_US
dc.subjectCompressive diffusionen_US
dc.subjectSignal processingen_US
dc.subjectCommunication loaden_US
dc.subjectDiffusion dataen_US
dc.subjectDistributed networksen_US
dc.subjectFull informationsen_US
dc.subjectGaussiansen_US
dc.subjectPerformance analysisen_US
dc.subjectScalar diffusionen_US
dc.subjectSteady-state analysisen_US
dc.subjectDiffusionen_US
dc.titlePerformance analysis of scalar diffusion strategy over distributed networken_US
dc.title.alternativeDağıtılmış ağ üzerinde skaler yayınım stratejisinin performans analizien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1567en_US
dc.citation.epage1570en_US
dc.identifier.doi10.1109/SIU.2014.6830542en_US
dc.publisherIEEEen_US


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