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|a 9789176855782
|q (electronic bk.)
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|a (MiAaPQ)EBC4831995
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|a (Au-PeEL)EBL4831995
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|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
|d MiAaPQ
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|a Roth, Michael.
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|a Advanced Kalman Filtering Approaches to Bayesian State Estimation.
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|a 1st ed.
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|a Linköping :
|b Linkopings Universitet,
|c 2017.
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| 264 |
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|c {copy}2017.
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| 300 |
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|a 1 online resource (86 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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|a Linköping Studies in Science and Technology. Dissertations Series ;
|v v.1832
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| 505 |
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|a Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- 1 Introduction -- 2 Bayesian State Estimation -- 3 State Estimation Algorithms -- 4 Concluding Remarks -- Appendix -- A On Probability Density Functions -- B Exact Bayesian State Estimationfor Scalar Problems -- Bibliography -- Part II Publications.
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| 588 |
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|a Description based on publisher supplied metadata and other sources.
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| 590 |
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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|a Electronic books.
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| 776 |
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|i Print version:
|a Roth, Michael
|t Advanced Kalman Filtering Approaches to Bayesian State Estimation
|d Linköping : Linkopings Universitet,c2017
|
| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a Linköping Studies in Science and Technology. Dissertations Series
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| 856 |
4 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=4831995
|z Click to View
|
