Performance of neural equalizers on partial erasure model

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

doi:10.1109/20.617731

Performance of neural equalizers on partial erasure model

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

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	2788-2790
Number of pages	3
Journal	IEEE Transactions on Magnetics
Volume	33
Issue number	5 PART 1
DOIs	https://doi.org/10.1109/20.617731
Publication status	Published - 1997

Bibliographical note

Funding Information:
Manuscript received February 4, 1997. S. Y. Choi., 82-2-361-2865, csyong@sunlight.yonsei.ac.kr, D. S. Hong, 82-2-361-2871, fax 82-2-31 2-4887, daesikh@catseye y0nsei.ac.h. 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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10.1109/20.617731

Cite this

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title = "Performance of neural equalizers on partial erasure model",

abstract = "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.",

author = "Sooyong Choi and Sunghwan Ong and Cheolwoo You and Daesik Hong and Jaehee Cho",

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AU - Choi, Sooyong

AU - Ong, Sunghwan

AU - You, Cheolwoo

AU - Hong, Daesik

AU - Cho, Jaehee

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AB - 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.

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Performance of neural equalizers on partial erasure model

Abstract

Bibliographical note

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