Combining nonlinear equalization and simple detection for high-density optical recording channels

Hangyu Cho, Choongchae Woo, Daesik Hong

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


This paper discusses new systems for nonlinear optical recording channels. The systems combine neural network structure into simple detectors such as the multilevel decision-feedback equalizer (MDFE) and the discrete matched filter (DMF). The latter (denoted as DFNE/DMF) provides powerful nonlinear tolerance, while the former (denoted as NMDFE) shows poor tolerance because of conditional training property in the MDFE. When compared with a partial response neural equalizer with maximum-likelihood (PRNE/ML), the proposed DFNE/DMF proves to be very hardware-efficient and able to support high data rates. Simulation results show that the DFNE/DMF increases bloom tolerance up to roughly 30% at a density of S = 6.

Original languageEnglish
Pages (from-to)2313-2315
Number of pages3
JournalIEEE Transactions on Magnetics
Issue number5 I
Publication statusPublished - 2002 Sept
Event2002 International Magnetics Conference (Intermag 2002) - Amsterdam, Netherlands
Duration: 2002 Apr 282002 May 2

Bibliographical note

Funding Information:
Manuscript received February 13, 2002; revised June 5, 2002. This work was supported by the Korea Science and Engineering Foundation. The authors are with the Information and Telecommunication Laboratory, Yonsei University, Seoul, Korea (e-mail: Digital Object Identifier 10.1109/TMAG.2002.801878.

All Science Journal Classification (ASJC) codes

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


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