In this paper, data-dependent partial local feedback noise prediction schemes will be considered for magnetic recording applications where media noise is significant. These schemes are shown to provide improvement over standard partial response maximum likelihood detection as well as non-data-dependent noise prediction.
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Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United StatesDepartment of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United States
Qi, Xiaoyuan
Stadler, Bethanie J. H.
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Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United StatesDepartment of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United States
Stadler, Bethanie J. H.
Victora, R.H.
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Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United StatesDepartment of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United States
Victora, R.H.
Judy, J.H.
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Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United StatesDepartment of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United States
Judy, J.H.
Hellwig, O.
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San Jose Research Center, Hitachi Global Storage Technologies, San Jose, CA 95120, United States
In-House Research/Experimente, 12489 Berlin, GermanyDepartment of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United States
Hellwig, O.
Supper, N.
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San Jose Research Center, Hitachi Global Storage Technologies, San Jose, CA 95120-6099, United StatesDepartment of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, United States