A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels

Sooyong Choi, Sunghwan Ong, Cheolwoo You, Daesik Hong

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Issue number9
Publication statusPublished - 1998

Bibliographical note

Funding Information:
Manuscript received November 19, 1997. The associate editor coordinating the review of this letter and approving it for publication was Prof. H. V. Poor. This work (97K3-0803-01-04-1) was supported in part by the Korea Science and Engineering Foundation.

All Science Journal Classification (ASJC) codes

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


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