New paper: A Sampling Algorithm for Diffusion Networks

23 January 2021
Renato
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Categories: Research

Conference paper presented on the 28th European Signal Processing Conference (EUSIPCO) in which we propose an adaptive sampling method for the diffusion networks.

The solution allows a reduction in computational cost in steady state and can also be used as a censoring technique, to save energy by reducing the amount of communication betwen nodes.

The PDF file can be obtained in this page.

Leia também:

  1. New paper: A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks
  2. New paper: An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm
  3. New paper: Equalization in chaos-based communication systems using kernel adaptive filtering

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