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dc.contributor.authorSayin, M. O.en_US
dc.contributor.authorKozat, S. S.en_US
dc.date.accessioned2016-02-08T09:36:20Z
dc.date.available2016-02-08T09:36:20Z
dc.date.issued2013en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/20842
dc.description.abstractWe introduce novel diffusion based adaptive estimation strategies for distributed networks that have significantly less communication load and achieve comparable performance to the full information exchange configurations. After local estimates of the desired data is produced in each node, a single bit of information (or a reduced dimensional data vector) is generated using certain random projections of the local estimates. This newly generated data is diffused and then used in neighboring nodes to recover the original full information. We provide the complete state-space description and the mean stability analysis of our algorithms.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/LSP.2013.2273304en_US
dc.subjectCompresseden_US
dc.subjectSingle-biten_US
dc.subjectAdaptive estimationen_US
dc.subjectCompresseden_US
dc.subjectDiffusion strategiesen_US
dc.subjectDistributeden_US
dc.subjectDistributed networksen_US
dc.subjectReduced-dimensionalen_US
dc.subjectSingle-biten_US
dc.subjectState-space descriptionen_US
dc.subjectEstimationen_US
dc.subjectDiffusionen_US
dc.titleSingle bit and reduced dimension diffusion strategies over distributed networksen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage976en_US
dc.citation.epage979en_US
dc.citation.volumeNumber20en_US
dc.citation.issueNumber10en_US
dc.identifier.doi10.1109/LSP.2013.2273304en_US
dc.publisherIEEEen_US


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