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Wang Ting; Zhang Hang; Zhao Yanlong
Source Publicationactamathematicaeapplicataesinica
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.
Document Type期刊论文
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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