Recurrent Neural Network Equalization (RNNE) for Partial Response (PR) Shaping of Magneto-optical (MO) Readback Signals

Inci Ozgunes; Kadri Hacıog̃; lu; B.V.K. Vijaya Kumar

doi:10.1364/ODS.1998.WD.5

Optical Data Storage
Technical Digest Series (Optica Publishing Group, 1998),
paper WD.5
•https://doi.org/10.1364/ODS.1998.WD.5

Recurrent Neural Network Equalization (RNNE) for Partial Response (PR) Shaping of Magneto-optical (MO) Readback Signals

Inci Ozgunes, Kadri Hacıog̃, lu, and B.V.K. Vijaya Kumar

Optical Data Storage 1998

Colorado United States
10–13 May 1998
ISBN:

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Signals and Servos (WD)

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I. Ozgunes, K. Hacıog̃, lu, and B. V. K. V. Kumar, "Recurrent Neural Network Equalization (RNNE) for Partial Response (PR) Shaping of Magneto-optical (MO) Readback Signals," in Optical Data Storage, Technical Digest Series (Optica Publishing Group, 1998), paper WD.5.

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Abstract

PR equalization of MO readback signals using RNNE improves SNR performance over linear equalizer (LE), allowing threshold detector rather than LE+Viterbi Algorithm with comparable BERs.

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