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

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

doi:10.1109/TCSI.2003.813966

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

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

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

34 Citations (Scopus)

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
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	https://doi.org/10.1109/TCSI.2003.813966
Publication status	Published - 1 Jul 2003

Keywords

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

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1109/TCSI.2003.813966

http://hdl.handle.net/10397/698

Cite this

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KW - Recurrent neural networks (RNNs)

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DO - 10.1109/TCSI.2003.813966

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JO - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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