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Modified BTC Algorithm for Audio Signal CodingTOMIC, S. , PERIC, Z. , NIKOLIC, J.
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adaptive coding, audio compression, correlation, quantization, signal to noise ratio
coding(9), audio(6), speech(5), digital(5), signal(4), processing(4), peric(4), chapter(4), algorithm(4)
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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 369] [SCOPUS Times Cited 496]
 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] [SCOPUS Times Cited 518]
 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 7] [SCOPUS Times Cited 8]
 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 62] [SCOPUS Times Cited 93]
 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 40] [SCOPUS Times Cited 48]
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Stefan cel Mare University of Suceava, Romania
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