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.
|Number of pages||3|
|Journal||IEEE Transactions on Magnetics|
|Issue number||5 I|
|Publication status||Published - 2002 Sept|
|Event||2002 International Magnetics Conference (Intermag 2002) - Amsterdam, Netherlands|
Duration: 2002 Apr 28 → 2002 May 2
Bibliographical noteFunding 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: firstname.lastname@example.org). Digital Object Identifier 10.1109/TMAG.2002.801878.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering