Reproducing probability density classes on Lie groups with application to discrete-time filtering (Corresp.)
A general approach to discrete-time filtering for dynamical systems evolving in a Lie group is presented. The most general filtering solution is given by the signal probability density function conditioned on the measurements, which for nonlinear systems is usually nonparametric.
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| Veröffentlicht in: | IEEE transactions on information theory 1980-01, Vol.26 (1), p.124-129 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext bestellen |
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| Zusammenfassung: | A general approach to discrete-time filtering for dynamical systems evolving in a Lie group is presented. The most general filtering solution is given by the signal probability density function conditioned on the measurements, which for nonlinear systems is usually nonparametric. |
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| ISSN: | 0018-9448 1557-9654 |
| DOI: | 10.1109/TIT.1980.1056128 |