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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dc.contributor.authorKumar, H.
dc.contributor.authorSripati, U.
dc.contributor.authorRajesh Shetty, K.
dc.contributor.authorShankarananda, B.
dc.date.accessioned2026-02-05T09:35:18Z
dc.date.issued2012
dc.description.abstractA 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.
dc.identifier.citationIETE Journal of Research, 2012, 58, 4, pp. 272-278
dc.identifier.issn3772063
dc.identifier.urihttps://doi.org/10.4103/0377-2063.102305
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/26991
dc.subjectAWGN channel
dc.subjectData storage systems
dc.subjectHard decision decoding
dc.subjectImai-Kamiyanagi codes
dc.subjectLow-complexity
dc.subjectMemory subsystems
dc.subjectParity check
dc.subjectSoft decision
dc.subjectTanner graphs
dc.subjectData processing
dc.subjectData storage equipment
dc.subjectIterative decoding
dc.subjectMemory architecture
dc.subjectVirtual storage
dc.subjectForestry
dc.subjectCoding
dc.subjectData Processing
dc.subjectDecision Theory
dc.subjectGraphic Methods
dc.subjectStorage
dc.titleEnhancing 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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