Performance Evaluation of Neuro-ITI Canceller Using a Modified Writing Process for TDMR
Author:
Affiliation:
1. Graduate School of Science and Engineering, Ehime University
2. RIEC, Tohoku University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
https://www.jstage.jst.go.jp/article/transele/E96.C/12/E96.C_1504/_pdf
Reference13 articles.
1. [1] R. Wood, M. Williams, A. Kavcic, and J. Miles, “The feasibility of magnetic recording at 10 terabits per square inch on conventional media,” IEEE Trans. Magn., vol.45, no.2, pp.917-923, Feb. 2009.
2. [2] M. Yamashita, H. Osawa, Y. Okamoto, Y. Nakamura, Y. Suzuki, K. Miura, and H. Muraoka, “Read/write channel modeling and two-dimensional neural network equalization for two-dimensional magnetic recording,” IEEE Trans. Magn., vol.47, no.10, pp.3558-3561, Oct. 2011.
3. [3] M. Yamashita, Y. Okamoto, Y. Nakamura, H. Osawa, K. Miura, S.J. Greaves, H. Aoi, Y. Kanai, and H. Muraoka, “Modeling of writing process for two-dimensional magnetic recording and performance evaluation of two-dimensional neural network equalizer,” IEEE Trans. Magn., vol.48, no.11, pp.4586-4589, Nov. 2012.
4. [4] K.-Z. Gao and H.N. Bertram, “Magnetic recording configuration for densities beyond 1Tb/in2 and data rates beyond 1Gb/s,” IEEE Trans. Magn., vol.38, no.6, pp.3675-3683, Nov. 2002.
5. [5] E.C. Stoner and E.P. Wohlfarth, “A mechanism of magnetic hysteresis in heterogeneous alloys,” Philos. Trans. R. Soc. London, Ser. A, vol.240, no.826, pp.599-642, May 1948.
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