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parameterestimationbasedonsetvaluedsignalstheoryandapplication
Wang Ting; Zhang Hang; Zhao Yanlong
2019
Source Publicationactamathematicaeapplicataesinica
ISSN0168-9673
Volume35Issue:2Pages:255
AbstractThis 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/40038
Collection系统科学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
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.
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