弄混
发表于 2025-3-21 18:47:59
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hemoglobin
发表于 2025-3-21 20:22:01
Multisensor Fusion Estimation Theory and Application
碌碌之人
发表于 2025-3-22 03:14:01
Multisensor Fusion Estimation Theory and Application978-981-15-9426-7
随意
发表于 2025-3-22 08:35:10
Book 2021chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three
小步舞
发表于 2025-3-22 11:41:27
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INERT
发表于 2025-3-22 13:01:29
Book 2021 estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc..
骂人有污点
发表于 2025-3-22 18:27:32
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semble
发表于 2025-3-22 21:40:13
https://doi.org/10.1007/978-981-15-9426-7Multisensor data fusion; State estimation; Kalman filter; Heavy-tailed noise; Event-triggered mechanism
Atmosphere
发表于 2025-3-23 03:56:20
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善于
发表于 2025-3-23 05:53:07
Liping Yan,Lu Jiang,Yuanqing XiaAddresses multisensor data fusion state estimation both in theory and practice.Studies comprehensively state fusion estimation methods in case of networked transmission problems.Presents the design of