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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
Avg review time: 57 days
Avg accept to publ: 60 days
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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  3/2011 - 18

 HIGHLY CITED PAPER 

Digital filter optimization for C language

BARLEANU, A. See more information about BARLEANU, A. on SCOPUS See more information about BARLEANU, A. on IEEExplore See more information about BARLEANU, A. on Web of Science, BAITOIU, V. See more information about  BAITOIU, V. on SCOPUS See more information about  BAITOIU, V. on SCOPUS See more information about BAITOIU, V. on Web of Science, STAN, A. See more information about STAN, A. on SCOPUS See more information about STAN, A. on SCOPUS See more information about STAN, A. on Web of Science
 
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Download PDF pdficon (1,337 KB) | Citation | Downloads: 1,752 | Views: 5,206

Author keywords
embedded software, fixed-point arithmetic, filtering algorithms, design optimization, accuracy

References keywords
point(16), fixed(9), systems(7), floating(7), signal(6), processing(5), conversion(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 111 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03018
Web of Science Accession Number: 000296186700018
SCOPUS ID: 80055068021

Abstract
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A method for transforming C code with floating-point values into C code with integer variables is developed. The objective is to avoid any operations with floating-point data types, thereby increasing the execution speed of the program on a microprocessor without a math coprocessor. The original C code must be a dot product with floating-point literals and integer variables with known interval bounds. The transformation algorithm remodels the dot product form into a tree structure, to maximize the accuracy, but, on the other side, keeps the number of shift operations reduced. The integer code that is generated is ANSI C compliant. It is tested on 8-bit and 32-bit microprocessors using different compilers. The results show that the integer code is several times faster than the floating-point code, the only loss being a very low accuracy drop.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] Kinematics Calibration and Validation Approach Using Indoor Positioning System for an Omnidirectional Mobile Robot, Popovici, Alexandru-Tudor, Dosoftei, Constantin-Catalin, Budaciu, Cristina, Sensors, ISSN 1424-8220, Issue 22, Volume 22, 2022.
Digital Object Identifier: 10.3390/s22228590
[CrossRef]

[2] Verification of fixed-point digital controllers using direct and delta forms realizations, Bessa, Iury V., Ismail, Hussama I., Cordeiro, Lucas C., Filho, João E. C., Design Automation for Embedded Systems, ISSN 0929-5585, Issue 2, Volume 20, 2016.
Digital Object Identifier: 10.1007/s10617-016-9173-5
[CrossRef]

[3] Embedded Processor Oriented Compiler Infrastructure, DJUKIC, M., POPOVIC, M., CETIC, N., POVAZAN, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.03016
[CrossRef] [Full text]

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


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