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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/698
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| Title: | A neutral-network-based channel-equalization strategy for chaos-based communication systems |
| Authors: | Feng, Jiuchao
Tse, C. K. Michael
Lau, Francis Chung-ming |
| Subjects: | Channel equalization
Chaos-based communications
Recurrent neural networks (RNNs) |
| Issue Date: | Jul-2003 |
| Publisher: | IEEE |
| Citation: | 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. |
| 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. |
| Type: | Journal/Magazine Article |
| URI: | http://hdl.handle.net/10397/698 |
| ISSN: | 10577122 |
| Appears in Collections: | EIE Journal/Magazine Articles
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