A study on modeling of the writing process and two-dimensional neural network equalization for two-dimensional magnetic recording

A study on modeling of the writing process and two-dimensional neural network equalization for two-dimensional magnetic recording

A simple writing process considering magnetic clusters due to exchange coupling between grains is studied for two-dimensional magnetic recording. The bit error rate (BER) performance of a low-density parity-check coding and iterative decoding system with a two-dimensional neural network equalizer (2...

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Veröffentlicht in:Journal of applied physics 2012-04, Vol.111 (7), p.07B727-07B727-3
Hauptverfasser: Yamashita, Masato, Okamoto, Yoshihiro, Nakamura, Yasuaki, Osawa, Hisashi, Miura, Kenji, Greaves, S., Aoi, H., Kanai, Y., Muraoka, Hiroaki
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container_end_page 07B727-3
container_issue 7
container_start_page 07B727
container_title Journal of applied physics
container_volume 111
creator Yamashita, Masato
Okamoto, Yoshihiro
Nakamura, Yasuaki
Osawa, Hisashi
Miura, Kenji
Greaves, S.
Aoi, H.
Kanai, Y.
Muraoka, Hiroaki
description A simple writing process considering magnetic clusters due to exchange coupling between grains is studied for two-dimensional magnetic recording. The bit error rate (BER) performance of a low-density parity-check coding and iterative decoding system with a two-dimensional neural network equalizer (2D-NNE) that can diminish the influences of jitter-like medium noise and inter-track interference is obtained using a read/write channel model based on the proposed writing process, and it is compared with those for one- and two-dimensional finite impulse response equalizers (FIREs). It is clarified that the BER performance for the 2D-NNE is far superior to those for the FIREs.
doi_str_mv 10.1063/1.3680535
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title A study on modeling of the writing process and two-dimensional neural network equalization for two-dimensional magnetic recording
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