Performance of neural equalizers on partial erasure model

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Issue number5 PART 1
Publication statusPublished - 1997

Bibliographical note

Funding Information:
Manuscript received February 4, 1997. S. Y. Choi., 82-2-361-2865,, D. S. Hong, 82-2-361-2871, fax 82-2-31 2-4887, daesikh@catseye This work was supported in part by a research grant of the university supporting program from both the Ministry of Information & Comrnunica-tion and the Video Industrial R&D Association of Republic of Korea.

All Science Journal Classification (ASJC) codes

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


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