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conference paper
Robustness and convergence of adaptive schemes in blind equalization and neural network training
1996
European Signal Processing Conference
We pursue a time-domain feedback analysis of adaptive schemes with nonlinear update relations. We consider commonly used algorithms in blind equalization and neural network training and study their performance in a purely deterministic framework. The derivation employs insights from system theory and feedback analysis, and it clarifies the combined effects of the step-size parameters and the nature of the nonlinear functionals on the convergence and robustness performance of the adaptive schemes.
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Type
conference paper
Authors
Publication date
1996
Published in
European Signal Processing Conference
Start page
1
End page
4
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Trieste, Italy | September 10-13, 1996 | |
Available on Infoscience
December 19, 2017