Authors: Perić, Zoran
Nikolić, Jelena
Velimirović, Lazar 
Stanković, Miomir 
Aleksić, Danijela
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Asymmetrical two-level scalar quantizer with extended Huffman coding for compression of Laplacian source
Journal: Advances in Electrical and Computer Engineering
Volume: 13
Issue: 2
First page: 39
Last page: 42
Issue Date: 18-Jun-2013
Rank: M23
ISSN: 1582-7445
DOI: 10.4316/AECE.2013.02006
This paper proposes a novel model of the twolevel 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.
Keywords: Distortion | Entropy coding | Huffman coding | Quantization | Signal to noise ratio
Publisher: University of Suceava
Project: Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 

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