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    Generalized belief propagation based TDMR detector and decoder

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    Name:
    Vasic_Generalized_Belief_Propa ...
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    Description:
    Final Accepted Manuscript
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    Author
    Matcha, Chaitanya Kumar
    Bahrami, Mohsen
    Roy, Shounak
    Srinivasa, Shayan Garani
    Vasic, Bane
    Affiliation
    Department of Electrical and Computer Engineering, University of Arizona
    Issue Date
    2016-07
    Keywords
    channel capacity
    channel coding
    computational geometry
    intersymbol interference
    magnetic recording
    parity check codes
    LDPC
    TDMR detector
    Voronoi based TDMR channel model
    decoder
    generalized belief propagation
    low-density parity check codes
    magnetic grains
    media noise
    two dimensional intersymbol interference
    two dimensional magnetic recording
    Algorithm design and analysis
    Approximation algorithms
    Channel models
    Erbium
    Media
    Signal processing algorithms
    Two dimensional displays
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    Metadata
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    Publisher
    IEEE
    Citation
    C. K. Matcha, M. Bahrami, S. Roy, S. G. Srinivasa and B. Vasić, "Generalized belief propagation based TDMR detector and decoder," 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, 2016, pp. 210-214. doi: 10.1109/ISIT.2016.7541291
    Journal
    2016 IEEE International Symposium on Information Theory (ISIT)
    Rights
    Copyright © 2016, IEEE
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Two dimensional magnetic recording (TDMR) achieves high areal densities by reducing the size of a bit comparable to the size of the magnetic grains resulting in two dimensional (2D) inter symbol interference (ISI) and very high media noise. Therefore, it is critical to handle the media noise along with the 2D ISI detection. In this paper, we tune the generalized belief propagation (GBP) algorithm to handle the media noise seen in TDMR. We also provide an intuition into the nature of hard decisions provided by the GBP algorithm. The performance of the GBP algorithm is evaluated over a Voronoi based TDMR channel model where the soft outputs from the GBP algorithm are used by a belief propagation (BP) algorithm to decode low-density parity check (LDPC) codes.
    DOI
    10.1109/ISIT.2016.7541291
    Version
    Final accepted manuscript
    Additional Links
    http://ieeexplore.ieee.org/document/7541291/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ISIT.2016.7541291
    Scopus Count
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    UA Faculty Publications

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