@inproceedings{b615628da9a6416285c914286f081a58,
title = "On the selection of optimal nonlinearities for stochastic gradient adaptive algorithms",
abstract = "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.",
author = "Al-Naffouri, {T. Y.} and Sayed, {A. H.} and T. Kailath",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 ; Conference date: 05-06-2000 Through 09-06-2000",
year = "2000",
doi = "10.1109/ICASSP.2000.862014",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "464--467",
booktitle = "Signal Processing Theory and Methods I",
address = "United States",
}