Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture f...
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| প্রধান লেখক: | |
|---|---|
| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
KIT Scientific Publishing
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | 34619 |
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| _version_ | 1869519660942098432 |
|---|---|
| author | Huber, Marco |
| author_browse | Huber, Marco |
| author_facet | Huber, Marco |
| author_sort | Huber, Marco |
| collection | Directory of Open Access Books |
| description | By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture filtering for strong nonlinearities, (3) Gaussian process filtering for purely data-driven scenarios. For each setting, efficient algorithms are derived and applied to real-world problems. |
| format | Online |
| id | doab-20.500.12854ir-54758 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-547582023-12-20T18:40:45Z Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications Huber, Marco QA75.5-76.95 Zustandsschätzung GaußprozesseBayesian statistics Kalman filter Gaussian processes Kalman-Filter state estimation filtering Bayes'sche Statistik bic Book Industry Communication::U Computing & information technology::UY Computer science By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture filtering for strong nonlinearities, (3) Gaussian process filtering for purely data-driven scenarios. For each setting, efficient algorithms are derived and applied to real-world problems. 2021-02-11T21:07:56Z 2021-02-11T21:07:56Z 2019-07-30 20:01:58 2015 book 34619 18636489 9783731503385 https://directory.doabooks.org/handle/20.500.12854/54758 eng Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731503385 KIT Scientific Publishing 10.5445/KSP/1000045491 10.5445/KSP/1000045491 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731503385 V, 270 p. open access |
| spellingShingle | QA75.5-76.95 Zustandsschätzung GaußprozesseBayesian statistics Kalman filter Gaussian processes Kalman-Filter state estimation filtering Bayes'sche Statistik bic Book Industry Communication::U Computing & information technology::UY Computer science Huber, Marco Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| title | Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| title_full | Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| title_fullStr | Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| title_full_unstemmed | Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| title_short | Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| title_sort | nonlinear gaussian filtering theory algorithms and applications |
| topic | QA75.5-76.95 Zustandsschätzung GaußprozesseBayesian statistics Kalman filter Gaussian processes Kalman-Filter state estimation filtering Bayes'sche Statistik bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 Zustandsschätzung GaußprozesseBayesian statistics Kalman filter Gaussian processes Kalman-Filter state estimation filtering Bayes'sche Statistik bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34619 |
| work_keys_str_mv | AT hubermarco nonlineargaussianfilteringtheoryalgorithmsandapplications |