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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 |
Issue Date: | Jul-2003 | Source: | IEEE transactions on circuits and systems. I, Fundamental theory and applications, July 2003, v. 50, no. 7, p. 954-957 | 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. | Keywords: | Channel equalization Chaos-based communications Recurrent neural networks (RNNs) |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on circuits and systems. I, Fundamental theory and applications | 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. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holders. |
| Appears in Collections: | Journal/Magazine Article |
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| neural-network_03.pdf | 136.55 kB | Adobe PDF | View/Open |
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