Performance of neural equalizers on partial erasure model

Sooyong Choi, Sunghwan Ong, Cheolwoo You, Daesik Hong, Jaehee Cho

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

The increase in the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. In this paper, to cope with severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel - partial erasure model. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it has been found that as nonlinear distortions increase the NDFE has more SNR (Signal to Noise Ratio) advantage over the conventional DFE.

Original languageEnglish
Pages (from-to)2788-2790
Number of pages3
JournalIEEE Transactions on Magnetics
Volume33
Issue number5 PART 1
DOIs
Publication statusPublished - 1997 Dec 1

Fingerprint

Decision feedback equalizers
Equalizers
Nonlinear distortion
Intersymbol interference
Magnetic recording
Signal to noise ratio

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Choi, Sooyong ; Ong, Sunghwan ; You, Cheolwoo ; Hong, Daesik ; Cho, Jaehee. / Performance of neural equalizers on partial erasure model. In: IEEE Transactions on Magnetics. 1997 ; Vol. 33, No. 5 PART 1. pp. 2788-2790.
@article{4bb9061c989242faa96982be24744810,
title = "Performance of neural equalizers on partial erasure model",
abstract = "The increase in the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. In this paper, to cope with severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel - partial erasure model. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it has been found that as nonlinear distortions increase the NDFE has more SNR (Signal to Noise Ratio) advantage over the conventional DFE.",
author = "Sooyong Choi and Sunghwan Ong and Cheolwoo You and Daesik Hong and Jaehee Cho",
year = "1997",
month = "12",
day = "1",
doi = "10.1109/20.617731",
language = "English",
volume = "33",
pages = "2788--2790",
journal = "IEEE Transactions on Magnetics",
issn = "0018-9464",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5 PART 1",

}

Performance of neural equalizers on partial erasure model. / Choi, Sooyong; Ong, Sunghwan; You, Cheolwoo; Hong, Daesik; Cho, Jaehee.

In: IEEE Transactions on Magnetics, Vol. 33, No. 5 PART 1, 01.12.1997, p. 2788-2790.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Performance of neural equalizers on partial erasure model

AU - Choi, Sooyong

AU - Ong, Sunghwan

AU - You, Cheolwoo

AU - Hong, Daesik

AU - Cho, Jaehee

PY - 1997/12/1

Y1 - 1997/12/1

N2 - The increase in the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. In this paper, to cope with severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel - partial erasure model. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it has been found that as nonlinear distortions increase the NDFE has more SNR (Signal to Noise Ratio) advantage over the conventional DFE.

AB - The increase in the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. In this paper, to cope with severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel - partial erasure model. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it has been found that as nonlinear distortions increase the NDFE has more SNR (Signal to Noise Ratio) advantage over the conventional DFE.

UR - http://www.scopus.com/inward/record.url?scp=0031220866&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031220866&partnerID=8YFLogxK

U2 - 10.1109/20.617731

DO - 10.1109/20.617731

M3 - Article

AN - SCOPUS:0031220866

VL - 33

SP - 2788

EP - 2790

JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

SN - 0018-9464

IS - 5 PART 1

ER -