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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2011 - 8

Low Complexity Encoder of High Rate Irregular QC-LDPC Codes for Partial Response Channels

KUPIMAI, M. See more information about KUPIMAI, M. on SCOPUS See more information about KUPIMAI, M. on IEEExplore See more information about KUPIMAI, M. on Web of Science, MEESOMBOON, A. See more information about  MEESOMBOON, A. on SCOPUS See more information about  MEESOMBOON, A. on SCOPUS See more information about MEESOMBOON, A. on Web of Science, IMTAWIL, V. See more information about IMTAWIL, V. on SCOPUS See more information about IMTAWIL, V. on SCOPUS See more information about IMTAWIL, V. on Web of Science
 
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Download PDF pdficon (573 KB) | Citation | Downloads: 381 | Views: 4,489

Author keywords
circulant permutation matrices, high rate irregular QC-LDPC codes, low encoding complexity, partial response channels, redundant parity bits

References keywords
codes(15), theory(7), parity(7), density(7), check(7), quasi(6), cyclic(6), shannon(4), limit(4), ldpc(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 47 - 54
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04008
Web of Science Accession Number: 000297764500008
SCOPUS ID: 84856613465

Abstract
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High rate irregular QC-LDPC codes based on circulant permutation matrices, for efficient encoder implementation, are proposed in this article. The structure of the code is an approximate lower triangular matrix. In addition, we present two novel efficient encoding techniques for generating redundant bits. The complexity of the encoder implementation depends on the number of parity bits of the code for the one-stage encoding and the length of the code for the two-stage encoding. The advantage of both encoding techniques is that few XOR-gates are used in the encoder implementation. Simulation results on partial response channels also show that the BER performance of the proposed code has gain over other QC-LDPC codes.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 5407]


[2] D. J. C. MacKay and R. M. Neal, "Good error correcting codes based on very sparse matrices," IEEE Trans. Inf. Theory, vol.45, pp. 399-431, Mar. 1999.
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[CrossRef]


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[CrossRef] [Web of Science Times Cited 957] [SCOPUS Times Cited 1258]


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[10] A. Dholakia, E.Eleftheriou, T.Mittelholzer and M.P.C. Fossorier, "Capacity-aapproaching code; Can they be applied to the magnetic recording channel?," IEEE Commun. Mag., vol. 42, no. 2, pp. 122-130, Feb. 2004.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 24]


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[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 40]


[12] X. Liu, W. Zhang and Z. Fan, "Construct of Quasi-Cyclic LDPC Codes and the performance on the PR4 Equalizer MRC Channel," IEEE Trans. Mag., vol.45, no.10, pp. 3699-3702, Oct. 2009.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 19]


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[CrossRef] [Web of Science Times Cited 841] [SCOPUS Times Cited 1108]


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[CrossRef] [Web of Science Times Cited 395] [SCOPUS Times Cited 508]


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[CrossRef] [Web of Science Times Cited 185] [SCOPUS Times Cited 268]


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[CrossRef]


References Weight

Web of Science® Citations for all references: 10,471 TCR
SCOPUS® Citations for all references: 19,022 TCR

Web of Science® Average Citations per reference: 551 ACR
SCOPUS® Average Citations per reference: 1,001 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-06-29 17:47 in 109 seconds.




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Stefan cel Mare University of Suceava, Romania


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