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  4. Diffusion least-mean squares with adaptive combiners
 
conference paper

Diffusion least-mean squares with adaptive combiners

Takahashi, Noriyuki
•
Yamada, Isao
•
Sayed, Ali H.  
2009
IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing

This paper presents an efficient adaptive combination strategy for diffusion algorithms over adaptive networks in order to improve the robustness against the spatial variation of SNR over the network. The diffusion least-mean square (LMS) algorithm with the proposed combination rule and its mean transient analysis are included. Simulation results show that the diffusion LMS algorithm with our combiners outperforms those with existing static combiners and the incremental LMS algorithm.

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Type
conference paper
DOI
10.1109/ICASSP.2009.4960216
Author(s)
Takahashi, Noriyuki
Yamada, Isao
Sayed, Ali H.  
Date Issued

2009

Publisher

IEEE

Published in
IEEE International Conference on Acoustics, Speech and Signal Processing
Start page

2845

End page

2848

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Event nameEvent placeEvent date
ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing

Taipei, Taiwan

April 19-24, 2009

Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/143045
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