conference paper
Mean-Square Analysis of Normalized Leaky Adaptive Filters
2001
Acoustics, Speech, anProceedings IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP
We study leaky adaptive algorithms that employ a general scalar or matrix data nonlinearity. We perform mean-square analysis of this class of algorithms without imposing restrictions on the distribution of the input signal. In particular, we derive conditions on the step-size for stability, and provide closed form expressions for the steady-state performance.
Type
conference paper
Author(s)
Al-Naffouri, Tareq Y.
Date Issued
2001
Published in
Acoustics, Speech, anProceedings IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP
Volume
6
Start page
3873
End page
3876
Editorial or Peer reviewed
REVIEWED
Written at
OTHER
EPFL units
| Event name | Event place | Event date |
Salt Lake City, UT, USA | May 7-11, 2001 | |
Available on Infoscience
December 19, 2017
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