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

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Performance of neural equalizers on partial erasure model'. Together they form a unique fingerprint.

  • Cite this