Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/698
Title: A neutral-network-based channel-equalization strategy for chaos-based communication systems
Authors: Feng, J
Tse, CKM 
Lau, FCM 
Keywords: Channel equalization
Chaos-based communications
Recurrent neural networks (RNNs)
Issue Date: Jul-2003
Publisher: IEEE
Source: IEEE transactions on circuits and systems. I, Fundamental theory and applications, July 2003, v. 50, no. 7, p. 954-957 How to cite?
Journal: IEEE transactions on circuits and systems. I, Fundamental theory and applications 
Abstract: This brief addresses the channel-distortion problem and proposes a technique for channel equalization in chaos-based communication systems. The proposed equalization is realized by a modified recurrent neural network incorporating a specific training (equalizing) algorithm.
URI: http://hdl.handle.net/10397/698
ISSN: 1057-7122
DOI: 10.1109/TCSI.2003.813966
Rights: © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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