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.
Original language | English |
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Pages (from-to) | 954-957 |
Number of pages | 4 |
Journal | IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications |
Volume | 50 |
Issue number | 7 |
DOIs | |
Publication status | Published - 1 Jul 2003 |
Keywords
- Channel equalization
- Chaos-based communications
- Recurrent neural networks (RNNs)
ASJC Scopus subject areas
- Electrical and Electronic Engineering