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|a Zhao, Yuxin.
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|a Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
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|a 1st ed.
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|a Linköping :
|b Linkopings Universitet,
|c 2019.
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|c {copy}2019.
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|a 1 online resource (74 pages)
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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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|a online resource
|b cr
|2 rdacarrier
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|a Linköping Studies in Science and Technology. Dissertations Series ;
|v v.1968
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|a Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- Notation -- 1 Introduction -- 1.1 Application Examples -- 1.2 Main Contributions -- 1.3 Thesis outline -- 1.3.1 Outline of Part I -- 1.3.2 Outline of Part II -- I Background -- 2 Estimation -- 2.1 Static Estimators -- 2.1.1 Best Linear Unbiased Estimator -- 2.1.2 Maximum Likelihood Estimator -- 2.1.3 Least Squares -- 2.2 Dynamic Estimators -- 2.3 Sequential Monte Carlo Methods for State Inference -- 2.3.1 Particle Filter -- 2.3.2 Particle Smoother -- 3 Modeling -- 3.1 Linear Regression for Parametric Modeling -- 3.2 Gaussian Process for Non-parametric Modeling -- 4 The Cramér-Rao Bound -- 4.1 Cramér-Rao Bound for Static Estimator -- 4.2 Cramér-Rao Bound for Dynamic Estimator -- 5 Concluding Remarks -- 5.1 Summary of Contribution -- 5.2 Some Insights into Future Work -- Bibliography -- 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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|i Print version:
|a Zhao, Yuxin
|t Gaussian Processes for Positioning Using Radio Signal Strength Measurements
|d Linköping : Linkopings Universitet,c2019
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| 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 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=5721778
|z Click to View
|
