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

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


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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.

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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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  4/2014 - 5

Performance Prediction of Double-Binary Turbo Codes with High Order Modulations in AWGN Channel

BALTA, H. See more information about BALTA, H. on SCOPUS See more information about BALTA, H. on IEEExplore See more information about BALTA, H. on Web of Science, DOUILLARD, C. See more information about  DOUILLARD, C. on SCOPUS See more information about  DOUILLARD, C. on SCOPUS See more information about DOUILLARD, C. on Web of Science, STOLOJESCU-CRISAN, C. See more information about  STOLOJESCU-CRISAN, C. on SCOPUS See more information about  STOLOJESCU-CRISAN, C. on SCOPUS See more information about STOLOJESCU-CRISAN, C. on Web of Science, GAL, J. See more information about GAL, J. on SCOPUS See more information about GAL, J. on SCOPUS See more information about GAL, J. 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 (699 KB) | Citation | Downloads: 327 | Views: 1,743

Author keywords
AWGN channel, communication systems, digital modulation, prediction methods, turbo codes

References keywords
turbo(21), codes(17), communications(13), coded(11), modulation(7), modulations(5), interleaved(5), douillard(5), telecommunications(4), performance(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 29 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04005
Web of Science Accession Number: 000348772500005
SCOPUS ID: 84921625814

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In this paper, we present a method for turbo codes (TC) performance prediction, in terms of bit error rate (BER) and frame error rate (FER) versus signal to noise ratio (SNR), when they are used with high-order modulations (HOM). The method is based on two simplifying hypotheses and assumes that the BER/FER vs. SNR performance, in the case of BPSK modulation, is known. For the simulations we have chosen the double-binary turbo codes (DBTC) used in the DVB-RCS standard. The experimental results confirm the good accuracy of the proposed prediction method and validate our assumptions. The method has been applied in the case of 16-Quadrature Amplitude Modulation (16-QAM), but it can be easily extended to any other type of modulation.

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

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[18] Y. Liu, M. P. Fitz, O. Y. Takeshita, H. Zhongxin, "A rank criterion for QAM space-time codes with application to turbo coding", Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 193 - 197, 2000.
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[29] W. Koch, A. Baier, "Optimum and sub-optimum detection of coded data disturbed by time-varying intersymbol interference". GLOBECOM ’90, San Diego, CA, USA, pp. 1679-1684, (Dec. 1990).

[30] H. Balta, C. Douillard, "On the Influence of the Extrinsic Information Scaling Coefficient on the Performance of Single and Double Binary Turbo Codes", Advances in Electrical and Computer Engineering, vol. 13, is. 2, pp. 77-84, 2013.
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[31] H. Balta, C. Douillard, M. Kovaci "The Minimum Likelihood APP Based Early Stopping Criterion for Multi-Binary Turbo Codes", Scientific Bulletin of Politehnica University of Timisoara, Transactions on Electronics and Communications, Tom 51-65, Timisoara, Romania, pp. 199-203, (2006)

References Weight

Web of Science® Citations for all references: 398 TCR
SCOPUS® Citations for all references: 2,949 TCR

Web of Science® Average Citations per reference: 12 ACR
SCOPUS® Average Citations per reference: 92 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 2018-10-23 20:40 in 181 seconds.

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