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Optimal Estimation and Information Fusion: Theory and Algorithms by Ming Lei ISBN 9789819631735, 9789819631728, 9819631734, 9819631726 instant download

  • SKU: EBN-237748300
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Instant download (eBook) Optimal Estimation and Information Fusion: Theory and Algorithms after payment.
Authors:Ming Lei
Pages:504 pages
Year:2025
Publisher:Springer Nature
Language:english
File Size:15.91 MB
Format:pdf
ISBNS:9789819631735, 9789819631728, 9819631734, 9819631726
Categories: Ebooks

Product desciption

Optimal Estimation and Information Fusion: Theory and Algorithms by Ming Lei ISBN 9789819631735, 9789819631728, 9819631734, 9819631726 instant download

This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.
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On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.
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On the other hand, this book also serves as a reference material for technical developers in this field.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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