Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Mean-square analysis of continuous-time distributed estimation strategies
 
conference paper

Mean-square analysis of continuous-time distributed estimation strategies

Nascimento, Vitor H.
•
Sayed, Ali H.  
2012
Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers
46th Asilomar Conference on Signals, Systems and Computers

In this work, we study the mean-square-error performance of a diffusion strategy for continuous-time estimation over networks. We derive differential equations that describe the evolution of the mean and correlation of the weight-error vector, and provide expressions for the steady-state mean-square deviation and excess mean-square error measures. Simulation results illustrate a good match between the theoretical model and the practical results.

  • Details
  • Metrics
Type
conference paper
DOI
10.1109/ACSSC.2012.6489278
Author(s)
Nascimento, Vitor H.
Sayed, Ali H.  
Date Issued

2012

Publisher

IEEE

Published in
Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers
Start page

1503

End page

1507

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Event nameEvent placeEvent date
46th Asilomar Conference on Signals, Systems and Computers

Pacific Grove, CA, USA

November 4-7, 2012

Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/143328
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés