|4/2016 - 5|
Modified BTC Algorithm for Audio Signal CodingTOMIC, S. , PERIC, Z. , NIKOLIC, J.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,399 KB) | Citation | Downloads: 285 | Views: 965|
adaptive coding, audio compression, correlation, quantization, signal to noise ratio
coding(9), audio(6), speech(5), digital(5), signal(4), processing(4), algorithm(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 31 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04005
Web of Science Accession Number: 000390675900005
SCOPUS ID: 85007545486
This paper describes modification of a well-known image coding algorithm, named Block Truncation Coding (BTC) and its application in audio signal coding. BTC algorithm was originally designed for black and white image coding. Since black and white images and audio signals have different statistical characteristics, the application of this image coding algorithm to audio signal presents a novelty and a challenge. Several implementation modifications are described in this paper, while the original idea of the algorithm is preserved. The main modifications are performed in the area of signal quantization, by designing more adequate quantizers for audio signal processing. The result is a novel audio coding algorithm, whose performance is presented and analyzed in this research. The performance analysis indicates that this novel algorithm can be successfully applied in audio signal coding.
|References|||||Cited By «-- Click to see who has cited this paper|
| W. C. Chu, Speech Coding Algorithms: Foundation and Evolution of Standardized Coders. John Wiley & Sons, New Jersey, Chapters 5-6, pp. 143-183, 2003.
 L. Hanzo, C. Somerville, J. Woodard, Voice and Audio Compression for Wireless Communications. London, John Wiley & Sons, Chapter 1, pp. 1-28, 2007.
 A. Kondoz, Digital Speech: Coding for Low Bit Rate Communication Systems. John Wiley & Sons, Ch. 2-3, pp. 5-55, 2004.
 E. J. Delp, O. R. Mithcell, "Image compression using block bruncation coding", IEEE Trans. Commun., vol. 27 no. 9, pp. 1335-1342, 1979.
[CrossRef] [Web of Science Times Cited 393] [SCOPUS Times Cited 536]
 Compact Disc Digital Audio System, (IEC/ANSI) CEI-IEC-908, 1987.
 P. Ted, A. Spanias, "Perceptual coding of digital audio" Proceedings of the IEEE, vol. 88 no. 4, pp. 451-515, 2000.
[CrossRef] [Web of Science Times Cited 380] [SCOPUS Times Cited 534]
 K. Sayood, Introduction to data compression, Newnes, Chapter 1, pp. 3-38, 2012.
 M. Bosi, R. Goldberg. Introduction to digital audio coding and standards. Vol. 721. Springer Science & Business Media, Chapter 11-15, pp. 264-425, 2012.
 Z. Peric, S. Tomic, M. Tancic, "High quality speech signal coding with the application of BTC algorithm", International Conference on Advanced Technologies, Systems and Services in Telecommunications - TELSIKS, Nis, Serbia, October 2015, pp. 23-26
 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 9] [SCOPUS Times Cited 10]
 Q. Guoping, "Color image indexing using BTC", IEEE Transactions on Image Processing, vol. 12, no. 1 pp. 93-101, 2003.
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 103]
 ITU-T, Recommendation G.711, "Pulse Code Modulation (PCM) of Voice Frequencies", International Telecommunication Union, 1972.
 J. Nikolic, Z. Peric, "Lloyd-Maxs algorithm implementation in speech coding algorithm based on forward adaptive technique", Informatica, vol. 19, no. 2, pp. 255-270, 2008.
 Z. Peric, M. Petkovic, M. Dincic, "Simple compression algorithm for memoryless Laplacian source based on the optimal companding technique", Informatica, vol. 20, no. 1, pp. 99-114, 2009.
 N. Judell, L. Scharf, "A simple derivation of Lloyd's classical result for the optimum scalar quantizer", IEEE Trans. Inform. Theory, vol. 32, no. 2, pp. 326-328, 1986.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 13]
 S. Jiang, R. Yin, P. Liu, "Finite-state entropy-constrained vector quantiser for audio modified discrete cosine transform coefficients uniform quantisation", IET Signal Processing, vol. 9 , no. 1, pp. 30-36, 2015.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]
 R. Farias, J. Brossier, "Adaptive quantizers for estimation", Signal Processing, vol. 93, no. 11, pp. 3076-3087, 2013.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]
 N. S. Jayant, P. Noll, Digital coding of waveforms. New Jersey, Prentice Hall, Chapter 5, pp. 221-251, 1984.
 A. Spanias, T. Painter, V. Atti, Audio signal processing and coding, John Wiley & Sons, 2006.
 D. Hui, D. Neuhoff, "Asymptotic analysis of optimal fixed-rate uniform scalar quantization", IEEE Trans. Inform. Theory, vol. 47, no. 3, pp. 957-977, 2001.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 53]
Web of Science® Citations for all references: 920 TCR
SCOPUS® Citations for all references: 1,256 TCR
Web of Science® Average Citations per reference: 44 ACR
SCOPUS® Average Citations per reference: 60 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 2018-09-20 07:58 in 56 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.