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  • 标题:DESIGN OF NOVEL SCALAR QUANTIZER MODEL FOR GAUSSIAN SOURCE
  • 本地全文:下载
  • 作者:Zoran Peric ; Jelena Nikolic ; Zlatan Eskic
  • 期刊名称:Public Policy And Administration
  • 印刷版ISSN:2029-2872
  • 出版年度:2015
  • 卷号:37
  • 期号:4
  • DOI:10.5755/j01.itc.37.4.11984
  • 语种:English
  • 出版社:Kaunas University of Technology
  • 摘要:This paper proposes the novel model of scalar quantizer that combines two classical models, the model of scalar compandor and the model of Lloyd-Max’s scalar quantizer. Particularly, the proposed model utilizes the advantages of the both models while tending to minimize their deficiencies. The performance analysis of the novel quantizer is carried out assuming the Gaussian source of unit variance. It is demonstrated that with the novel model of quantizer near to the Lloyd-Max's optimal performances can be achieved. Moreover, we showed that for a fixed number of quantizaton levels, the average complexity of the novel quantizer is significantly smaller than that of the Lloyd- Max's scalar quantizer.
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