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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
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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: 226 | Views: 3,829

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 4842]


[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 912] [SCOPUS Times Cited 1184]


[7] L. Chen, X. Jun, I. Djurdjevic, and S. Lin, "Near-Shannon-limit quasi-cyclic low-density parity-check codes," IEEE Trans. Commun., vol.52, no.7, pp. 1038- 1042, July 2004.
[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 180]


[8] IEEE P802.11n TM/D1.02, "Draft Amendment to Standard Information Technology Part 11: Wireless Lan Medium Access Control (MAC) and Physical Layer (PHY) specification: Enhancements for higher Throughput," IEEE 802.11 document, July 2006.

[9] IEEE P 802.16eTM, "Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access System," IEEE 802.16 document, Feb 2005.

[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 25]


[11] H. Zhong, T. Zhang and E. F. Hartsch, "Quasi-Cyclic LDPC code for the magnetic Recording Channel Code Design and VLSI Implementation," IEEE Trans. Mag., vol.43, no.3, pp. 1118-1123, March. 2007.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 39]


[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 15] [SCOPUS Times Cited 18]


[13] M. P. C. Fossorier, "Quasi-Cyclic low density parity check codes from circulant permutation matrices," IEEE Trans. Inform. Theory, vol. 50, no. 8, pp. 1788-1794, Aug. 2004.
[CrossRef] [Web of Science Times Cited 785] [SCOPUS Times Cited 1018]


[14] A. Sridharan, D. J. Costello-Jr., D. Sridhara, T. E. Fuja, and R.M. Tanner, "LDPC Block and Convolutional Codes Based on Circulant Matrices," IEEE Trans. Inform. Theory, vol. 50, no.12, pp. 2966-2984, Dec. 2004.
[CrossRef] [Web of Science Times Cited 375] [SCOPUS Times Cited 479]


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[CrossRef] [Web of Science Times Cited 179] [SCOPUS Times Cited 255]


[16] Z. Li., L. Chen, L. Zeng, S. Lin, and W. H. Fong, "Efficient encoding of quasi-cyclic low density parity-check codes," IEEE Trans. Commun., vol. 54, no.1, pp. 71-81, Jan. 2006.
[CrossRef] [Web of Science Times Cited 293] [SCOPUS Times Cited 385]


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[19] J. Hagenuer and P. Hoecher, "A Viterbi algorithm with soft decision output and its application," in Proc. IEEE GLOBECOM, pp. 47.11-47, Dallas, TX, Nov. 1989.
[CrossRef]


References Weight

Web of Science® Citations for all references: 10,017 TCR
SCOPUS® Citations for all references: 17,697 TCR

Web of Science® Average Citations per reference: 527 ACR
SCOPUS® Average Citations per reference: 931 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 2022-08-03 20:18 in 103 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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