Neural network-based decision feedback equaliser with lattice structure

A. Shafi; A. Zerguine; M. Bettayeb

doi:10.1049/el:19991120

Neural network-based decision feedback equaliser with lattice structure

A. Shafi^*, A. Zerguine, M. Bettayeb

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. It is shown from computer simulations that whitening of the received data employing adaptive lattice channel equalisation algorithms improves the convergence rate and bit error rate performances of multilayer perception-based DFEs.

Original language	English
Pages (from-to)	1705-1707
Number of pages	3
Journal	Electronics Letters
Volume	35
Issue number	20
DOIs	https://doi.org/10.1049/el:19991120
State	Published - 1999

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el:19991120

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title = "Neural network-based decision feedback equaliser with lattice structure",

abstract = "The effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. It is shown from computer simulations that whitening of the received data employing adaptive lattice channel equalisation algorithms improves the convergence rate and bit error rate performances of multilayer perception-based DFEs.",

author = "A. Shafi and A. Zerguine and M. Bettayeb",

year = "1999",

doi = "10.1049/el:19991120",

language = "English",

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pages = "1705--1707",

journal = "Electronics Letters",

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T1 - Neural network-based decision feedback equaliser with lattice structure

AU - Shafi, A.

AU - Zerguine, A.

AU - Bettayeb, M.

PY - 1999

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N2 - The effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. It is shown from computer simulations that whitening of the received data employing adaptive lattice channel equalisation algorithms improves the convergence rate and bit error rate performances of multilayer perception-based DFEs.

AB - The effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. It is shown from computer simulations that whitening of the received data employing adaptive lattice channel equalisation algorithms improves the convergence rate and bit error rate performances of multilayer perception-based DFEs.

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U2 - 10.1049/el:19991120

DO - 10.1049/el:19991120

M3 - Article

AN - SCOPUS:0033195256

SN - 0013-5194

VL - 35

SP - 1705

EP - 1707

JO - Electronics Letters

JF - Electronics Letters

IS - 20

ER -

Neural network-based decision feedback equaliser with lattice structure

Abstract

ASJC Scopus subject areas

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