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      • Department of Electrical and Electronics Engineering
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      Single bit and reduced dimension diffusion strategies over distributed networks

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      Author
      Sayin, M. O.
      Kozat, S. S.
      Date
      2013
      Source Title
      IEEE Signal Processing Letters
      Print ISSN
      1070-9908
      Publisher
      IEEE
      Volume
      20
      Issue
      10
      Pages
      976 - 979
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      We 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.
      Keywords
      Compressed
      Single-bit
      Adaptive estimation
      Compressed
      Diffusion strategies
      Distributed
      Distributed networks
      Reduced-dimensional
      Single-bit
      State-space description
      Estimation
      Diffusion
      Permalink
      http://hdl.handle.net/11693/20842
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/LSP.2013.2273304
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      • Department of Electrical and Electronics Engineering 3524
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