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conference paper
An optimal error nonlinearity for robust adaptation against impulsive noise
2013
IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
The least-mean squares algorithm is non-robust against impulsive noise. Incorporating an error nonlinearity into the update equation is one useful way to mitigate the effects of impulsive noise. This work develops an adaptive structure that parametrically estimates the optimal error-nonlinearity jointly with the parameter of interest, thus obviating the need for a priori knowledge of the noise probability density function. The superior performance of the algorithm is established both analytically and experimentally.
Type
conference paper
Authors
Publication date
2013
Publisher
Published in
IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Start page
415
End page
419
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Darmstadt, Germany | June 16-19, 2013 | |
Available on Infoscience
December 19, 2017
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