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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Nov 2018
Next issue: Feb 2019
Avg review time: 80 days


PUBLISHER

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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  3/2018 - 9

A Proposal of a Novel Method for Generating Discrete Analog Uniform Noise

PEJIC, D. See more information about PEJIC, D. on SCOPUS See more information about PEJIC, D. on IEEExplore See more information about PEJIC, D. on Web of Science, GAZIVODA, N. See more information about  GAZIVODA, N. on SCOPUS See more information about  GAZIVODA, N. on SCOPUS See more information about GAZIVODA, N. on Web of Science, LICINA, B. See more information about  LICINA, B. on SCOPUS See more information about  LICINA, B. on SCOPUS See more information about LICINA, B. on Web of Science, UREKAR, M. See more information about  UREKAR, M. on SCOPUS See more information about  UREKAR, M. on SCOPUS See more information about UREKAR, M. on Web of Science, SOVILJ, P. See more information about  SOVILJ, P. on SCOPUS See more information about  SOVILJ, P. on SCOPUS See more information about SOVILJ, P. on Web of Science, VUJICIC, B. See more information about VUJICIC, B. on SCOPUS See more information about VUJICIC, B. on SCOPUS See more information about VUJICIC, B. on Web of Science
 
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Download PDF pdficon (1,423 KB) | Citation | Downloads: 118 | Views: 176

Author keywords
converters, generators, noise, nonuniform sampling, probability density function

References keywords
stochastic(13), computing(8), link(4), digital(4), analog(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 61 - 66
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03009
Web of Science Accession Number: 000442420900009
SCOPUS ID: 85052135055

Abstract
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This paper presents a proposal of a new way to generate analog noise, discrete in time, with uniform probability density function. Instead of the usual way of generating discrete analog uniform noise using a uniform pseudorandom number generator and a digital-to-analog converter, generating based on non-equidistant sampling of sawtooth voltage is suggested. The original hardware structure that implements this idea is suggested and its work is simulated. The simulations have confirmed the validity of the idea. The main gain is the unlimited resolution of the analog output of the uniform noise generator suggested. The resolution of standard uniform noise generators is limited by the resolution of the digital-to-analog converter used.


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

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[CrossRef]


[2] A. Alaghi; J. P. Hayes, "Survey of Stochastic Computing", ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Probabilistic Embedded Computing, Volume 12 Issue 2s, May 2013, Article No. 92,
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[10] P. Alfke, "Efficient Shift Registers, LFSR Counters, and Long Pseudo-Random Sequence Generators", XILINX, XAPP 052 July 7,1996 (Version 1.1), [Online] Available: Temporary on-line reference link removed - see the PDF document

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[12] J. Neskudla, J. Vedral, "Digitaly controlled white noise generator", 2006. [Online] Available: Temporary on-line reference link removed - see the PDF document

[13] S. L. Toral, J. M. Quero, L. G. Franquelo, "Stochastic pulse coded arithmetic", Circuits and Systems, Proceedings ISCAS 2000. The 2000 IEEE International Symposium on (Volume:1), Geneva, pp 599 - 602

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[17] M. Urekar, D. Pejic, V. Vujicic, S. Avramov-Zamurovic, "Accuracy improvement of the stochastic digital electrical energy meter", Measurement: Journal of the International Measurement Confederation, 98, 139-150., 2017.
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References Weight

Web of Science® Citations for all references: 123 TCR
SCOPUS® Citations for all references: 298 TCR

Web of Science® Average Citations per reference: 6 ACR
SCOPUS® Average Citations per reference: 14 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 2018-12-10 09:13 in 87 seconds.




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


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