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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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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.

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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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  4/2011 - 6

Design of Piecewise Uniform Scalar Quantizer with Geometric Progression of Segment Width

PERIC, Z. See more information about PERIC, Z. on SCOPUS See more information about PERIC, Z. on IEEExplore See more information about PERIC, Z. on Web of Science, NIKOLIC, J. See more information about NIKOLIC, J. on SCOPUS See more information about NIKOLIC, J. on SCOPUS See more information about NIKOLIC, J. on Web of Science
 
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Download PDF pdficon (456 KB) | Citation | Downloads: 1,253 | Views: 4,153

Author keywords
digital signal processing, quantization, signal to quantization noise ratio

References keywords
speech(5), theory(4), quantizers(4), adaptive(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 37 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04006
Web of Science Accession Number: 000297764500006
SCOPUS ID: 84856600025

Abstract
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In this paper, the design procedure of the piecewise uniform scalar quantizer having segments with widths that form a geometric progression is presented. The proposed quantizer design optimization for the Laplacian source of the unit variance is performed by optimizing the distortion in respect to the support region threshold and the scaling factor which defines the geometric progression of the consecutive segment widths. For the proposed quantizer model and its forward adaptive version, the signal to quantization noise ratio robustness analysis in a wide variance range is also presented in the paper. Regarding the performance comparision of the proposed quantizer, the uniform quantizer and the G.711 quantizer, the conclusion of the proposed quantizer significance is distinctly shown in the paper.


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

[1] N. Jayant, P. Noll, "Digital Coding of Waveforms: Principles and Applications to Speech and Video", Prentice Hall, 1st edition, March 1984.

[2] L. Hanzo, C. Somerville, J. Woodard, "Voice and Audio Compression for Wireless Communications", John Wiley & Sons - IEEE Press, 2nd edition, October 8, 2007.

[3] L. Rabiner, R. Schafer, "Introduction to Digital Speech Processing", Now, November 30, 2007.

[4] ITU-T, Recommendation G.711, "Pulse Code Modulation (PCM) of Voice Frequencies", International Telecommunication Union, Geneva, Switzerland, 1988.

[5] D. Kazakos, K. Makki, "Quantization Approach utilizing Piecewise Linear Companders", Proceedings of the IEEE Southeastcon 2008, Huntsville, 3-6 April, 2008, pp. 165-169.
[CrossRef] [Web of Science Times Cited 2]


[6] D. Kazakos, K. Makki, "Robust Companders", Proceedings of the 6th WSEAS International Conference on Telecommunications and Informatics, Dallas, Texas, 2007, pp. 32-35.

[7] J. Nikolic, Z. Peric, D. Antic, A. Jovanovic, D. Denic, "Low Complex Forward Adaptive Loss Compression Algorithm and its Application in Speech Coding", Journal of Electrical Engineering, vol. 62, no. 1, pp. 19-24, 2011.
[CrossRef] [Web of Science Times Cited 15]


[8] F. Kuhlmann, J. Bucklew, "Picewise Uniform Vector Quantizers", IEEE Transactions on Information Theory, vol. 34, no. 5, pp. 1259-1263, 1988.
[CrossRef] [Web of Science Times Cited 17]


[9] S. Na, D. Neuhoff, "On the Support of MSE-Optimal, Fixed-Rate, Scalar Quantizers", IEEE Transactions on Information Theory, vol. 47, no. 7, pp. 2972-2982, November, 2001.
[CrossRef] [Web of Science Times Cited 51]


[10] S. Na, "Asymptotic Formulas for Mismatched Fixed-Rate Minimum MSE Laplacian Quantizers", IEEE Signal Processing Letters, vol. 15, pp. 13-16, 2008.
[CrossRef] [Web of Science Times Cited 32]


[11] D. Goodman, A. Gersho, "Theory of an Adaptive Quantizer", IEEE Transactions on Communications, vol. 22, no. 8, pp. 1037-1045, August, 1974.
[CrossRef]


[12] V. Despotovic, Z. Peric, L. Velimirovic, V. Delic, "DPCM with Forward Gain-Adaptive Quantizer and Simple Switched Predictor for High Quality Speech Signals", Advances in Electrical and Computer Engineering, vol. 10, no. 4, 2010.

[13] J. Nikolic, Z. Peric, "Lloyd-Max's Algorithm Implementation in Speech Coding Algorithm Based on Forward Adaptive Technique", Informatica, vol. 19, no. 2, pp. 255-270, 2008.

[14] S. Na, "On the Support of Fixed-Rate Minimum Mean-Squared Error Scalar Quantizers for a Laplacian Source", IEEE Transactions on Information Theory, vol. 50, no. 5, pp. 937-944, May, 2004.
[CrossRef] [Web of Science Times Cited 37]


[15] O. Hersent, J. Petit, D. Gurle, "Beyond VoIP Protocols: Understanding Voice Technology and Networking Techniques for IP Telephony", John Wiley & Sons, 1st edition, March 11, 2005.

[16] ITU-T Recommendation G.712, "Transmission Performance Characteristics of Pulse Code Modulation channels", International Telecommunication Union, Geneva, Switzerland, 2001.

References Weight

Web of Science® Citations for all references: 154 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 10 ACR
SCOPUS® Average Citations per reference: 0

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 2024-04-16 09:04 in 42 seconds.




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


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