Optimal Estimation and Information Fusion: Theory and Algorithms - Ming Lei - Grāmatas - Springer Nature Switzerland AG - 9789819631728 - 2025. gada 25. jūlijs
Ja vāks un nosaukums nesakrīt, pareizs ir nosaukums

Ming Lei
Optimal Estimation and Information Fusion: Theory and Algorithms

Saņemt e-pastu, kad prece būs pieejama
Do you have a profile? Pierakstīties
Saņemiet paziņojumus par jauniem Ming Lei izdevumiem

Mūsu klienti saka:

14 dienu atgriešanas politika saskaņā ar Eiropas patērētāju tiesību aizsardzības likumu
Top vieta Trustpilot
Pievienot savam iMusic vēlmju sarakstam

Not rated yet

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. 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of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.

On the other hand, this book also serves as a reference material for technical developers in this field.

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2025. gada 25. jūlijs
ISBN13 9789819631728
Izdevēji Springer Nature Switzerland AG
Lapas 488
Izmēri 150 × 220 × 20 mm   ·   884 g

Vairāk no tā paša izdevēja

Skatīt visus Ming Lei ( piem., Paperback Book un Hardcover Book )