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conference paper
On the selection of optimal nonlinearities for stochastic gradient adaptive algorithms
2000
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP
This paper derives an expression for the optimal error nonlinearity in
adaptive filter design. Using an energy conservation relation, and some typical assumptions, the choice of the error function is optimized by minimizing the mean-square deviation subject to a fixed rate of convergence. The resulting optimal choice is shown to subsume earlier results as special cases.
Type
conference paper
Authors
Publication date
2000
Published in
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP
Volume
1
Start page
464
End page
467
Peer reviewed
REVIEWED
EPFL units
| Event name | Event place | Event date |
Istanbul, Turkey | June 5-9, 2000 | |
Available on Infoscience
December 19, 2017
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