Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

Ahmar Shafi; Azzedine Zerguine

doi:10.1109/acssc.2001.986941

Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

Ahmar Shafi^*, Azzedine Zerguine

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this work, the effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying, and non-linear channels.

Original language	English
Pages (from-to)	328-331
Number of pages	4
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	1
DOIs	https://doi.org/10.1109/acssc.2001.986941
State	Published - 2001

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/acssc.2001.986941

Cite this

@article{6a06e79df1a94e29a5f20060a4c9934a,

title = "Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels",

abstract = "In this work, the effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying, and non-linear channels.",

author = "Ahmar Shafi and Azzedine Zerguine",

year = "2001",

doi = "10.1109/acssc.2001.986941",

language = "English",

volume = "1",

pages = "328--331",

journal = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",

issn = "1058-6393",

publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

AU - Shafi, Ahmar

AU - Zerguine, Azzedine

PY - 2001

Y1 - 2001

N2 - In this work, the effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying, and non-linear channels.

AB - In this work, the effect of whitening the input data in a multilayer perceptron (MLP)-based decision feedback equalizer (DFE) is evaluated. It is shown that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of MLP-based decision feedback equalizers. The consistency in performance is observed in time-invariant, time-varying, and non-linear channels.

UR - https://www.scopus.com/pages/publications/0035575319

U2 - 10.1109/acssc.2001.986941

DO - 10.1109/acssc.2001.986941

M3 - Conference article

AN - SCOPUS:0035575319

SN - 1058-6393

VL - 1

SP - 328

EP - 331

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

ER -

Performance of the multilayer perceptron-based DFE with lattice structure in linear and non-linear channels

Abstract

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this