文章基本信息

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 等
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.