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Titlebook: Kalman Filtering; with Real-Time Appli Charles K. Chui,Guanrong Chen Textbook 19993rd edition Springer-Verlag Berlin Heidelberg 1999 Filter

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發(fā)表于 2025-3-21 16:13:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Kalman Filtering
副標(biāo)題with Real-Time Appli
編輯Charles K. Chui,Guanrong Chen
視頻videohttp://file.papertrans.cn/542/541745/541745.mp4
概述A useful text which has been well appreciated over the years
叢書(shū)名稱(chēng)Springer Series in Information Sciences
圖書(shū)封面Titlebook: Kalman Filtering; with Real-Time Appli Charles K. Chui,Guanrong Chen Textbook 19993rd edition Springer-Verlag Berlin Heidelberg 1999 Filter
描述.Kalman Filtering with Real-Time Applications. presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowled
出版日期Textbook 19993rd edition
關(guān)鍵詞Filtering; Interval Sytem; Mathematica; Optical Estimation; Signal; Wavelet; algorithm; algorithms; filters
版次3
doihttps://doi.org/10.1007/978-3-662-03859-8
isbn_ebook978-3-662-03859-8Series ISSN 0720-678X
issn_series 0720-678X
copyrightSpringer-Verlag Berlin Heidelberg 1999
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Charles K. Chui,Guanrong ChenA useful text which has been well appreciated over the years
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Springer Series in Information Scienceshttp://image.papertrans.cn/k/image/541745.jpg
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Kalman Filtering978-3-662-03859-8Series ISSN 0720-678X
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Preliminaries,The importance of Kalman filtering in engineering applications is well known, and its mathematical theory has been rigorously established. The main objective of this treatise is to present a thorough discussion of the mathematical theory, computational algorithms, and application to real-time tracking problems of the Kalman filter.
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