文章基本信息

标题：A comparative investigation of information loss due to variable quantization on parameter estimation of compound distribution ⁎
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作者：Ruslan Seifullaev ; Steffi Knorn ; Anders Ahlén 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：2379-2384
DOI：10.1016/j.ifacol.2020.12.036
语种：English
出版社：Elsevier
摘要：AbstractIn this paper we study the problem of how quantization may affect the maximum likelihood estimation of the parameters of a probability density function representing a compound distribution. We consider and compare three different approaches to design a variable quantizer allowing to guarantee a predefined loss of Fisher information which is used as a measure of the information loss due to quantization. We also propose the approximations which characterize the asymptotic behavior of the loss allowing a significant reduction of the computational complexity.
关键词：KeywordsEstimationquantized systemscommunication networks