Abstract
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 language | English |
|---|---|
| Pages (from-to) | 2313-2315 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Magnetics |
| Volume | 38 |
| Issue number | 5 I |
| DOIs | |
| Publication status | Published - 2002 Sept |
| Event | 2002 International Magnetics Conference (Intermag 2002) - Amsterdam, Netherlands Duration: 2002 Apr 28 → 2002 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: cool@itl.yonsei.ac.kr). Digital Object Identifier 10.1109/TMAG.2002.801878.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering