conference paper
An adaptive filter robust to data uncertainties
2000
Proceedings of the Allerton Conference on Communication, Control and Computing
This paper considers the problem of adaptive filtering in the presence of uncertainties in the regression data. A recursive procedure is derived that is based on solving local optimization problems that attemps to alleviate the worst-case effect of data uncertainties on filter performance. The resulting procedure turns out to have similarities with leakage-based adaptive filters.
Type
conference paper
Author(s)
Al-Naffouri, TY
Date Issued
2000
Published in
Proceedings of the Allerton Conference on Communication, Control and Computing
Volume
2
Start page
1175
End page
1183
Editorial or Peer reviewed
REVIEWED
Written at
OTHER
EPFL units
| Event name | Event place | Event date |
Monticello, Illinois, USA | September 29 - October 1, 2010 | |
Available on Infoscience
December 19, 2017
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