A neutral-network-based channel-equalization strategy for chaos-based communication systems

Jiuchao Feng, Chi Kong Tse, C. M. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)


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 languageEnglish
Pages (from-to)954-957
Number of pages4
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Issue number7
Publication statusPublished - 1 Jul 2003


  • Channel equalization
  • Chaos-based communications
  • Recurrent neural networks (RNNs)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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