Loading...
conference paper
Steady-state performance of incremental learning over distributed networks for non-Gaussian data
2008
9th International Conference on Signal Processing
In this paper, the steady-state performance of the distributed least mean-squares (dLMS) algorithm within an incremental network is evaluated without the restriction of Gaussian distributed inputs. Computer simulations are presented to verify the derived performance expressions.
Use this identifier to reference this record
Type
conference paper
Authors
Publication date
2008
Publisher
Published in
9th International Conference on Signal Processing
Start page
227
End page
230
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Beijing, China | October 26-29, 2008 | |
Available on Infoscience
December 19, 2017