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      • Department of Electrical and Electronics Engineering
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      Distributed adaptive filtering with reduced communication load

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      Author(s)
      Utlu, İhsan
      Kozat, Süleyman Serdar
      Date
      2016
      Source Title
      Proceedings of the 24th European Signal Processing Conference, EUSIPCO 2016
      Print ISSN
      2219-5491
      Publisher
      IEEE
      Pages
      1488 - 1492
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      We propose novel algorithms for distributed processing in applications constrained by available communication resources, using diffusion strategies that achieve up to three orders-of-magnitude reduction in communication load on the network, while delivering equal performance with respect to the state of the art. After computation of local estimates, the information is diffused among processing elements (or nodes) non-uniformly in time by conditioning the information transfer on level-crossings of the diffused parameter, resulting in a greatly reduced communication requirement. We provide the mean stability analysis of our algorithms, and illustrate the gain in communication efficiency compared to other reducedcommunication distributed estimation schemes.
      Keywords
      Signal processing
      Communication efficiency
      Communication resources
      Diffusion strategies
      Distributed estimation
      Distributed processing
      Information transfers
      Processing elements
      Three orders of magnitude
      Adaptive filters
      Permalink
      http://hdl.handle.net/11693/37742
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/EUSIPCO.2016.7760496
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      • Department of Electrical and Electronics Engineering 3702
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