Enhancing the error-correcting capability of imai-kamiyanagi codes for data storage systems by adopting iterative decoding using a parity check tree
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Date
2012
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Abstract
A novel low-complexity, soft decision technique which allows the decoding of distance-5 double error-correcting Imai-Kamiyanagi codes by using a parity check tree associated with the Tanner graph is proposed. These codes have been applied to memory subsystems and digital storage devices in order to achieve efficient and reliable data processing and storage. For the AWGN channel, gains in excess of 1.5 dB at reasonable bit error rates with respect to conventional hard decision decoding are demonstrated for the (46, 32), (81, 64), and (148, 128) shortened Imai-Kamiyanagi codes. Copyright © 2012 by the IETE.
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Keywords
AWGN channel, Data storage systems, Hard decision decoding, Imai-Kamiyanagi codes, Low-complexity, Memory subsystems, Parity check, Soft decision, Tanner graphs, Data processing, Data storage equipment, Iterative decoding, Memory architecture, Virtual storage, Forestry, Coding, Data Processing, Decision Theory, Graphic Methods, Storage
Citation
IETE Journal of Research, 2012, 58, 4, pp. 272-278