A decision feedback recurrent neural equalizer as an infinite impulse response filter

Sunghwan Ong, Cheolwoo You, Sooyong Choi, Daesik Hong

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

An adaptive decision feedback recurrent neural equalizer (DFRNE), which models a kind of an IIR structure, is proposed. Its performance is compared with the traditional linear and nonlinear equalizers with FIR structures for various communication channels. The small size and high performance of the DFRNE makes it suitable for high-speed channel equalization.

Original languageEnglish
Pages (from-to)2851-2858
Number of pages8
JournalIEEE Transactions on Signal Processing
Volume45
Issue number11
DOIs
Publication statusPublished - 1997 Dec 1

Fingerprint

IIR filters
Equalizers
Feedback

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

@article{88ba38101ee744458b840e0e0a5d9220,
title = "A decision feedback recurrent neural equalizer as an infinite impulse response filter",
abstract = "An adaptive decision feedback recurrent neural equalizer (DFRNE), which models a kind of an IIR structure, is proposed. Its performance is compared with the traditional linear and nonlinear equalizers with FIR structures for various communication channels. The small size and high performance of the DFRNE makes it suitable for high-speed channel equalization.",
author = "Sunghwan Ong and Cheolwoo You and Sooyong Choi and Daesik Hong",
year = "1997",
month = "12",
day = "1",
doi = "10.1109/78.650112",
language = "English",
volume = "45",
pages = "2851--2858",
journal = "IEEE Transactions on Signal Processing",
issn = "1053-587X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

A decision feedback recurrent neural equalizer as an infinite impulse response filter. / Ong, Sunghwan; You, Cheolwoo; Choi, Sooyong; Hong, Daesik.

In: IEEE Transactions on Signal Processing, Vol. 45, No. 11, 01.12.1997, p. 2851-2858.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A decision feedback recurrent neural equalizer as an infinite impulse response filter

AU - Ong, Sunghwan

AU - You, Cheolwoo

AU - Choi, Sooyong

AU - Hong, Daesik

PY - 1997/12/1

Y1 - 1997/12/1

N2 - An adaptive decision feedback recurrent neural equalizer (DFRNE), which models a kind of an IIR structure, is proposed. Its performance is compared with the traditional linear and nonlinear equalizers with FIR structures for various communication channels. The small size and high performance of the DFRNE makes it suitable for high-speed channel equalization.

AB - An adaptive decision feedback recurrent neural equalizer (DFRNE), which models a kind of an IIR structure, is proposed. Its performance is compared with the traditional linear and nonlinear equalizers with FIR structures for various communication channels. The small size and high performance of the DFRNE makes it suitable for high-speed channel equalization.

UR - http://www.scopus.com/inward/record.url?scp=0031268481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031268481&partnerID=8YFLogxK

U2 - 10.1109/78.650112

DO - 10.1109/78.650112

M3 - Article

AN - SCOPUS:0031268481

VL - 45

SP - 2851

EP - 2858

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

SN - 1053-587X

IS - 11

ER -