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|Title:||A neutral-network-based channel-equalization strategy for chaos-based communication systems|
Tse, C. K. Michael
Lau, Francis Chung-ming
Recurrent neural networks (RNNs)
|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.|
|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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|Appears in Collections:||EIE Journal/Magazine Articles|
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