Publication

Robustness and convergence of adaptive schemes in blind equalization and neural network training

Ali H. Sayed
1996
Conference paper

Abstract

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.

Official source

https://infoscience.epfl.ch/record/233417?ln=en

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Robustness and convergence of adaptive schemes in blind equalization and neural network training

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