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Asymmetrical Two-Level Scalar Quantizer with Extended Huffman Coding for Compression of Laplacian SourcePERIC, Z. , NIKOLIC, J. , VELIMIROVIC, L. , STANKOVIC, M. , ALEKSIC, D.
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distortion, entropy coding, Huffman coding, quantization, signal to noise ratio
peric(5), huffman(5), introduction(4), coding(4)
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About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 39 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02006
Web of Science Accession Number: 000322179400006
SCOPUS ID: 84878941715
This paper proposes a novel model of the two-level scalar quantizer with extended Huffman coding. It is designed for the average bit rate to approach the source entropy as close as possible provided that the signal to quantization noise ratio (SQNR) value does not decrease more than 1 dB from the optimal SQNR value. Assuming the asymmetry of representation levels for the symmetric Laplacian probability density function, the unequal probabilities of representation levels are obtained, i.e. the proper basis for further implementation of lossless compression techniques is provided. In this paper, we are concerned with extended Huffman coding technique that provides the shortest length of codewords for blocks of two or more symbols. For the proposed quantizer with extended Huffman coding the convergence of the average bit rate to the source entropy is examined in the case of two to five symbol blocks. It is shown that the higher SQNR is achieved by the proposed asymmetrical quantizer with extended Huffman coding when compared with the symmetrical quantizers with extended Huffman coding having equal average bit rates.
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| N. S. Jayant, P. Noll, Digital Coding of Waveforms: Principles and Applications to Speech and Video, New Jersey, Prentice Hall, 1984.
 D. C. Hankerson, G. A. Harris, P. D. Johnson, Introduction to Information Theory and Data Compression, Boca Raton, Chapman & Hall/CRC, 2003.
 L. Hanzo, C. Somerville, J. Woodard, Voice and Audio Compression for Wireless Communications, London, John Wiley & Sons, 2007.
[CrossRef] [SCOPUS Times Cited 1]
 K. Sayood, Introduction to Data Compression, San Francisco, Elsevier, 2006.
 D. Salomon, A Concise Introduction to Data Compression, New York, Springer, 2008.
 A. R. Elabdalla, M. Irshid, "An Efficient Bitwise Huffman Coding Technique Based on Source Mapping", Computer and Electrical Engineering, Vol. 27, pp. 265-272, 2001.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 14]
 A. Zolghadr-E-Asli, S. Alipour, "An Effective Method for Still Image Compression/ Decompression for Transmission on PSTN Lines Based on Modifications of Huffman Coding", Computer and Electrical Engineering, Vol. 30, pp. 129-145, 2004.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]
 R. L. Rabiner, W. R.Schafer, "Introduction to Digital Speech Processing", Foundations and Trends in Signal Processing, Vol. 1, pp 1-194, 2007.
[CrossRef] [SCOPUS Times Cited 77]
 P. Fenwick, "Huffman Code Efficiencies for Extensions of Sources", IEEE Transaction on Communications, Vol 43, pp. 163-165, 1995.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]
 M. Dincic, Z. Peric, "Design of Quantizers with Huffman Coding for Laplacian Source", Electronics and Electrical Engineering, Vol. 10, pp. 129-132, 2010.
 Z. Peric, J. Nikolic, "An Effective Method for Initialization of Lloyd-Max's Algorithm of Optimal Scalar Quantization for Laplacian Source", Informatica, Vol. 18, pp. 279-288, 2007.
 D. Marco, D. L. Neuhoff, "Low-Resolution Scalar Quantization for Gaussian and Laplacian Sources with Absolute and Squared Error Distortion Measures", Technical report, 2006.
 Z. Peric, M. Dincic, M. Petkovic, "Design of a Hybrid Quantizer with Variable Length Code", Fundamenta informaticae , Vol. 98, pp. 233-256, 2010.
 K. Fredriksson, J. Tarhio, "Efficient String Matching in Huffman Compressed Texts", Fundamenta Informaticae, Vol. 62, pp. 1-16, 2004.
 V. Despotovic, Z. Peric, L. Velimirovic, V. Delic, "DPCM with forward gain-adaptive quantizer and switched first order predictor for high quality speech signals", Advances in Electrical and Computer Engineering, Vol. 10, pp. 95-98, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]
 V. Despotovic, Z. Peric, "ADPCM Using a Second-order Switched Predictor and Adaptive Quantizer", Advances in Electrical and Computer Engineering, Vol. 11, pp. 61-61, 2011.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]
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