Natural gradient learning neural networks for adaptive inversion of Hammerstein systems
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx5/97/22373/01043867.pdf?arnumber=1043867
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping;IEEE Signal Processing Letters;2022
2. Unknown Input Reconstruction Observer for Hammerstein-Wiener Systems in the Errors-in-Variables Framework;IFAC Proceedings Volumes;2012-07
3. Predistortion of Hammerstein and Wiener systems using the Nonlinear Filtered-x Prediction Error Method algorithm;e & i Elektrotechnik und Informationstechnik;2010-10
4. Adaptive predistortion of Hammerstein systems based on indirect learning architecture and prediction error method;2008 International Conference on Signals and Electronic Systems;2008
5. Orthogonal Neural Network for Nonlinearities Reduction of Multicarrier Transmitters;2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI);2007-11
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