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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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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
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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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  4/2013 - 13

Linearization of Optimal Compressor Function and Design of Piecewise Linear Compandor for Gaussian Source

NIKOLIC, J. See more information about NIKOLIC, J. on SCOPUS See more information about NIKOLIC, J. on IEEExplore See more information about NIKOLIC, J. on Web of Science, PERIC, Z. See more information about  PERIC, Z. on SCOPUS See more information about  PERIC, Z. on SCOPUS See more information about PERIC, Z. on Web of Science, ALEKSIC, D. See more information about  ALEKSIC, D. on SCOPUS See more information about  ALEKSIC, D. on SCOPUS See more information about ALEKSIC, D. on Web of Science, ANTIC, D. See more information about ANTIC, D. on SCOPUS See more information about ANTIC, D. on SCOPUS See more information about ANTIC, D. on Web of Science
 
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Download PDF pdficon (684 KB) | Citation | Downloads: 787 | Views: 3,286

Author keywords
distortion, piecewise linear approximation, quantization, signal to noise ratio

References keywords
quantization(8), nikolic(8), scalar(7), coding(6), adaptive(6), speech(5), quantizer(5), algorithm(5), uniform(4), theory(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 73 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04013
Web of Science Accession Number: 000331461300013
SCOPUS ID: 84890215004

Abstract
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The constraints on the quantizer model are usually related to how complex the model can be designed and implemented. For the given bit rate, it is desirable to provide the highest possible signal to quantization noise ratio (SQNR) with reasonable complexity of a quantizer model. In order to avoid the influence of compressor function nonlinearity and the difficulties appearing in implementing and designing, especially in the Gaussian probability density function case, in this paper we linearize the optimal compressor function within the segments. We take advantage of piecewise linearization of the optimal compressor function, as a convenient solution for less complex designing compared to the asymptotically optimal compandor, and we provide performances close to the ones of the asymptotically optimal compandor. This makes our model useful in applications where the design and implementation complexity is a decisive factor. We propose a piecewise linear compandor (PLC) with an equal number of reproduction levels per nonuniformly spaced segments, where the segment thresholds are allotted to the equidistant optimal compressor function values. We study how the number of segments affects SQNR of the PLC. Features of the proposed PLC indicate its theoretical and practical significance in quantization of Gaussian source signals.


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Cited-By CrossRef

[1] Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length Codewords, PERIC, Z., PETKOVIC, G., DENIC, B., STANIMIROVIC, A., DESPOTOVIC, V., STOIMENOV, L., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.04002
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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