Approximating nonlinear fading-memory operators using neural network models
- 1 June 1993
- journal article
- Published by Springer Nature in Circuits, Systems, and Signal Processing
- Vol. 12 (2) , 279-307
- https://doi.org/10.1007/bf01189878
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networksPublished by Elsevier ,2003
- Adaptive equalization of finite non-linear channels using multilayer perceptronsSignal Processing, 1990
- Approximation by superpositions of a sigmoidal functionMathematics of Control, Signals, and Systems, 1989
- On the approximate realization of continuous mappings by neural networksNeural Networks, 1989
- A second-order adaptive Volterra filter with rapid convergenceIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Fading memory and the problem of approximating nonlinear operators with Volterra seriesIEEE Transactions on Circuits and Systems, 1985
- Adaptive Cancellation of Nonlinear Intersymbol Interference for Voiceband Data TransmissionIEEE Journal on Selected Areas in Communications, 1984
- Nonlinear Echo Cancellation of Data SignalsIEEE Transactions on Communications, 1982
- Large-Scale Integration of Hybrid-Method Digital Subscriber LoopsIEEE Transactions on Communications, 1982
- Modeling and Performance Evaluation of Nonlinear Satellite Links-A Volterra Series ApproachIEEE Transactions on Aerospace and Electronic Systems, 1979