parameterestimationbasedonsetvaluedsignalstheoryandapplication

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	parameterestimationbasedonsetvaluedsignalstheoryandapplication
	Wang Ting; Zhang Hang; Zhao Yanlong
	2019-01-01
发表期刊	actamathematicaeapplicataesinica
ISSN	0168-9673
卷号	35 期号:2 页码:255
摘要	This paper summarizes the parameter estimation of systems with set-valued signals, which can be classified to three catalogs: one-time completed algorithms, iterative methods and recursive algorithms. For one-time completed algorithms, empirical measure method is one of the earliest methods to estimate parameters by using set-valued signals, which has been applied to the adaptive tracking of periodic target signals. The iterative methods seek numerical solutions of the maximum likelihood estimation, which have been applied to both complex diseases diagnosis and radar target recognition. The recursive algorithms are constructed via stochastic approximation and stochastic gradient methods, which have been applied to adaptive tracking of non-periodic signals.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/40038
专题	系统科学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Wang Ting,Zhang Hang,Zhao Yanlong. parameterestimationbasedonsetvaluedsignalstheoryandapplication[J]. actamathematicaeapplicataesinica,2019,35(2):255.
APA	Wang Ting,Zhang Hang,&Zhao Yanlong.(2019).parameterestimationbasedonsetvaluedsignalstheoryandapplication.actamathematicaeapplicataesinica,35(2),255.
MLA	Wang Ting,et al."parameterestimationbasedonsetvaluedsignalstheoryandapplication".actamathematicaeapplicataesinica 35.2(2019):255.