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JCR Impact Factor: 0.699
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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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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  2/2010 - 22

New High Performance Deterministic Interleavers for Turbo Codes

LAZAR, G. A. See more information about LAZAR, G. A. on SCOPUS See more information about LAZAR, G. A. on IEEExplore See more information about LAZAR, G. A. on Web of Science, BUZATU, N. R. See more information about  BUZATU, N. R. on SCOPUS See more information about  BUZATU, N. R. on SCOPUS See more information about BUZATU, N. R. on Web of Science, COJOCARIU, E. See more information about  COJOCARIU, E. on SCOPUS See more information about  COJOCARIU, E. on SCOPUS See more information about COJOCARIU, E. on Web of Science, TRIFINA, L. See more information about  TRIFINA, L. on SCOPUS See more information about  TRIFINA, L. on SCOPUS See more information about TRIFINA, L. on Web of Science, VIERU, R. See more information about VIERU, R. on SCOPUS See more information about VIERU, R. on SCOPUS See more information about VIERU, R. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (722 KB) | Citation | Downloads: 786 | Views: 3,147

Author keywords
channel coding, concatenated coding, deterministic algorithms, error correction coding, interleaved coding

References keywords
turbo(8), codes(6), theory(4), interleavers(4), information(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 125 - 129
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02022
Web of Science Accession Number: 000280312600022
SCOPUS ID: 77954639592

Abstract
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Turbo codes offer extraordinary performance, especially at low signal to noise ratios, due to a low multiplicity of low weight code words. The interleaver design is critical in order to realize an apparent randomness of the code, thus further enhancing its performance, especially for short block frames. This paper presents four new deterministic interleaver design methods, that lead to highly performing turbo coding systems, namely the block-spread, the block-backtracking and their variations the linearly-spread and linearly-backtracking interleavers. The design methods are explained in depth and the results are compared against some of the most wide-spread turbo code interleavers. Furthermore, the selection method of the generator polynomials used in the simulations is explained.


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

[1] A. H. S. Mohammadi, W. Zhuang, "Variance of the Turbo Code Performance Bound over the Interleavers", IEEE Transactions on Information Theory, vol. 48, no. 7, pp. 2078-2086, 2002.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[2] M. C. Valenti and J. Sun, "The UMTS Turbo Code and an Efficient Decoder Implementation Suitable for Software-Defined Radios", International Journal of Wireless Information Networks, vol. 8, no. 4, 2001, pp. 203-215, 2001.

[3] X. Zou, M.Wang, G. Feng, "A New Interleaver Design for Iteratively Decoded Bit-Interleaved Coded Modulation", International Journal of Soft Computing 3 (5), Medwell Journals, pp. 338-343, 2008.

[4] P. Robertson, "Illuminating the Structure of Code and Decoder of parallel concatenated recursive systematic (turbo) codes", IEEE International Conference on Communications (ICC), pp. 1298-1303, 1994.
[CrossRef]


[5] B. G. Lee, S. J. Bae, C. K. Jeong, E. K. Joo, "Performance Analysis of Swap Interleaver for Turbo Codes", Electronics Letters, vol. 35, no. 32, pp. 1939-1940, 1999.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


[6] C. Avenacio-Leon, "Analysis of the Dispersion and Spreading Properties of Interleavers for Turbo Codes", Computing Research Conference, CRC, 2004.

[7] O. Takeshita, "Permutation Polynomial Interleavers: An Algebraic-Geometric Perspective", IEEE Transactions on Information Theory, vol. 53, no. 6, 2007.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 49]


[8] K. Andrews, C. Heegard, D. Kozen, "A Theory of Interlavers", Cornell University Press, 1997.

[9] S. Crozier, "New High-Spread High-Distance Interleavers for Turbo-Codes", 20th Biennial Symposium on Communications, Kingston, pp. 3-7, May 2000.

[10] L. Perez, J. Seghers, D. Costello, "A Distance Spectrum Interpretation of Turbo Codes", IEEE Transactions of Information Theory, special issue on coding and complexity, pp. 1698-1709, 1996.
[CrossRef] [Web of Science Times Cited 267] [SCOPUS Times Cited 314]


[11] R. Garello, F. Chiaraluce, P. Pierleoni, M. Scaloni, S. Benedetto, "On the Error Floor and Free Distance of Turbo Codes", IEEE International Conference on Communications, pp.45-69, 2001.
[CrossRef] [SCOPUS Times Cited 37]


References Weight

Web of Science® Citations for all references: 318 TCR
SCOPUS® Citations for all references: 407 TCR

Web of Science® Average Citations per reference: 29 ACR
SCOPUS® Average Citations per reference: 37 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 2018-07-17 20:22 in 50 seconds.




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


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