Title: Wavelet neural networks for adaptive equalization
Authors: Jiang, MH ×
Deng, BX
Gielen, Georges
Zhang, B #
Issue Date: Oct-2003
Publisher: Technology exchange limited hong kong
Series Title: Chinese journal of electronics vol:12 issue:4 pages:522-526
Abstract: A structure based on the Wavelet neural networks (WNNs) is proposed for nonlinear channel equalization in a digital communication system. The construction algorithm of the Minimum error probability (MEP) is presented and applied as a performance criterion to update the parameter matrix of wavelet networks. Our experimental results show that performance of the proposed wavelet networks based on equalizer can significantly improve the neural modeling accuracy, perform quite well in compensating the nonlinear distortion introduced by the channel, and outperform the conventional neural networks in signal to noise ratio and channel non-linearity.
ISSN: 1022-4653
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - MICAS, Microelectronics and Sensors
× corresponding author
# (joint) last author

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