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dc.contributor.authorPerić, Zoranen
dc.contributor.authorNikolić, Jelenaen
dc.contributor.authorVelimirović, Lazaren
dc.contributor.authorStanković, Miomiren
dc.contributor.authorAleksić, Danijelaen
dc.date.accessioned2020-05-01T20:14:00Z-
dc.date.available2020-05-01T20:14:00Z-
dc.date.issued2013-06-18en
dc.identifier.issn1582-7445en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/1836-
dc.description.abstractThis 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.en
dc.publisherUniversity of Suceava-
dc.relationDevelopment of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education-
dc.relation.ispartofAdvances in Electrical and Computer Engineeringen
dc.subjectDistortion | Entropy coding | Huffman coding | Quantization | Signal to noise ratioen
dc.titleAsymmetrical two-level scalar quantizer with extended Huffman coding for compression of Laplacian sourceen
dc.typeArticleen
dc.identifier.doi10.4316/AECE.2013.02006en
dc.identifier.scopus2-s2.0-84878941715en
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage39en
dc.relation.lastpage42en
dc.relation.issue2en
dc.relation.volume13en
dc.description.rankM23-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0001-8737-1928-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/044006e.php-
crisitem.project.fundingProgramNATIONAL HEART, LUNG, AND BLOOD INSTITUTE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL HEART, LUNG, AND BLOOD INSTITUTE/5R01HL044006-04-
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