A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels

Sooyong Choi, Sunghwan Ong, Cheolwoo You, Daesik Hong

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A new neural equalizer is proposed in order to compensate for intersymbol interference and to mitigate nonlinear distortions in digital magnetic recording systems. The proposed equalizer uses the quadratic sigmoid function as the activation function. The performance of the proposed equalizer is compared to those of a decision-feedback equalizer (DFE) and a neural decision feedback equalizer (NDFE) in terms of bit-error rate in nonlinear digital magnetic recording channels. Simulation results demonstrate that the proposed equalizer outperforms both DFE and NDFE.

Original languageEnglish
Pages (from-to)263-265
Number of pages3
JournalIEEE Communications Letters
Volume2
Issue number9
DOIs
Publication statusPublished - 1998 Dec 1

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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