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JCR Impact Factor: 0.800
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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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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.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  3/2018 - 17

Three-Level Delta Modulation with Second-Order Prediction for Gaussian Source Coding

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, DENIC, B. See more information about  DENIC, B. on SCOPUS See more information about  DENIC, B. on SCOPUS See more information about DENIC, B. on Web of Science, DESPOTOVIC, V. See more information about DESPOTOVIC, V. on SCOPUS See more information about DESPOTOVIC, V. on SCOPUS See more information about DESPOTOVIC, V. on Web of Science
 
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Download PDF pdficon (1,319 KB) | Citation | Downloads: 815 | Views: 2,136

Author keywords
delta modulation, Huffman coding, predictive coding, speech coding, signal to noise ratio

References keywords
coding(8), speech(6), adaptive(6), signal(5), modulation(5), delta(5), source(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): 125 - 130
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03017
Web of Science Accession Number: 000442420900017
SCOPUS ID: 85052104039

Abstract
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An adaptive three-level delta modulation with a switched second-order linear prediction is proposed in this paper, intended for encoding the time-varying signals modeled by Gaussian distribution. The input signal is processed frame-by-frame, and the adaptation of the quantizer is performed at the frame level. The signal at the output of quantizer is further processed using variable length encoder to decrease the bit rate. The performance is tested in speech coding, showing that the proposed algorithm provides much wider dynamic range and attains higher Signal to Noise Ratio with respect to the baselines, including CFDM, CVSDM and 2-bit Adaptive Delta Modulation.


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

[1] N. S. Jayant, P. Noll, Digital Coding of Waveforms. New Jersey, Prentice Hall, Chapter 4, pp. 115-188, Chapter 8, pp. 372-417, 1984.

[2] K. Sayood, Introduction to Data Compression. San Francisco, Elsevier Science, Chapter 9, pp. 227-270, 2005.

[3] W. C. Chu, Speech Coding Algorithms: Foundation and Evolution of Standardized Coders. John Wiley & Sons, New Jersey, Chapter 5, pp. 143-158, 2003.
[CrossRef]


[4] D. G. Zrilic, Circuits and Systems Based on Delta Modulation. Springer, Chapter 1, pp. 1-27, 2005.
[CrossRef]


[5] J. D. Gibson, "Speech compression," Information, vol. 7, no. 32, pp. 1-22, 2016.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 31]


[6] B. S. Atal, "The history of linear prediction," IEEE Signal Process., vol. 23, no. 2, pp. 154-161, 2006.
[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 83]


[7] G. S. Tombras, "New adaptation algorithm for a two-digit adaptive delta modulation system," International Journal of Electronics, vol. 68, no. 3, pp. 343-349, 1990.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 11]


[8] E. A. Prosalentis, G. S. Tombras, "2-bit adaptive delta modulation system with improved performance," EURASIP Journal on Advances in Signal Processing, Article ID 16286, 2007.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 8]


[9] Z. Peric, B. Denic, V. Despotovic, "Multilevel delta modulation with switched first-order prediction for wideband speech coding," Elektronika IR Elektotechnika, vol. 24, no. 1, pp. 46-51, 2018.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[10] B. Denic, Z. Peric, V. Despotovic, "Three-level delta modulation for Laplacian source coding," Advances in Electrical and Computer Engineering, vol.17, no. 1, pp. 95-102, 2017.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 6]


[11] Z. Xia, X. Wang, X. Sun, B. Wang, "Steganalysis of least significant bit matching using multi-order differences," Security and Communication Networks, vol. 7, no. 8, pp. 1283-1291, 2014.
[CrossRef] [Web of Science Times Cited 300] [SCOPUS Times Cited 312]


[12] Z. Xia, X. Wang, X. Sun, Q. Liu, N. Xiong, "Steganalysis of LSB matching using differences between nonadjacent pixels," Multimedia Tools and Applications, vol. 75, no. 4, pp. 1947-1962, 2016.
[CrossRef] [Web of Science Times Cited 365] [SCOPUS Times Cited 381]


[13] B. Denic, Z. Peric, V. Despotovic, N. Vucic, "Forward adaptive Laplacian source coding based on the restricted quantization," Information Technology and Control, vol. 47, no. 2, pp. 209-219, 2018.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[14] J. Wu, Y. Wang, L. Ding, X. Liao, "Improving performance of network covert timing channel through Huffman coding," Mathematical and Computer Modelling, vol. 55, no. 1-2, pp. 69-79, 2012.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 54]


[15] M. Dincic, Z. Peric, "Design of quantizers with Huffman coding for Laplacian source," Elecrtonika IR Electrotechnika, vol. 106, no. 10, pp. 129-132, 2010.

[16] S. Na, "Asymptotic formulas for variance-mismatched fixed-rate scalar quantization of a Gaussian source," IEEE Trans. Signal Process., vol. 59, no. 5, pp. 2437-2441, 2011.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 34]


[17] 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.

[18] A. Ortega, M. Vetterly, "Adaptive scalar quantization without side information," IEEE Trans. on Image Processing, vol. 6, no. 5, pp. 665-676, 1997.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 49]


[19] 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, pp. 95-98, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]


[20] S. Gazor, W. Zhang, "Speech probability distribution," IEEE Signal Process. Letters, vol. 10, no. 7, pp. 204 - 207, 2003.
[CrossRef] [Web of Science Times Cited 206] [SCOPUS Times Cited 256]


[21] J. Nikolic, Z. Peric, A. Jovanovic, "Novel approximations for the Q-function with application in SQNR calculation," Digital Signal Processing, vol. 65, pp. 71-80, 2017.
[CrossRef]




References Weight

Web of Science® Citations for all references: 1,102 TCR
SCOPUS® Citations for all references: 1,243 TCR

Web of Science® Average Citations per reference: 50 ACR
SCOPUS® Average Citations per reference: 57 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 2024-03-21 14:35 in 131 seconds.




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


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