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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| Format: | Book Chapter |
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KIT Scientific Publishing
2015
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01667naaaa2200325uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_54758 | ||
| 005 | 20210211 | ||
| 020 | |a KSP/1000045491 | ||
| 020 | |a 9783731503385 | ||
| 024 | 7 | |a 10.5445/KSP/1000045491 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Huber, Marco |4 auth | |
| 245 | 1 | 0 | |a Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications |
| 260 | |b KIT Scientific Publishing |c 2015 | ||
| 300 | |a 1 electronic resource (V, 270 p. p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Zustandsschätzung | ||
| 653 | |a GaußprozesseBayesian statistics | ||
| 653 | |a Kalman filter | ||
| 653 | |a Gaussian processes | ||
| 653 | |a Kalman-Filter | ||
| 653 | |a state estimation | ||
| 653 | |a filtering | ||
| 653 | |a Bayes'sche Statistik | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731503385 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/54758 |7 0 |z DOAB: description of the publication |