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Results for state estimation

Publications & Outputs

  1. Recurrent Kalman networks: factorized inference in high-dimensional deep feature spaces

    Becker, P., Pandya, H., Gebhardt, G., Zhao, C., Taylor, C. J. & Neumann, G., 13/06/2019, Proceedings of Machine Learning Research (PMLR). Vol. 97. p. 544-552 9 p. (Proceedings of Machine Learning Research (PMLR); vol. 97).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  2. Non-minimal state space polynomial form of the Kalman filter for a general noise model

    Wilson, E. D., Clairon, Q. & Taylor, C. J., 27/02/2018, In : Electronics Letters. 54, 4, p. 204-206 3 p.

    Research output: Contribution to journalLetter

  3. Bearings-Only Tracking with Particle Filtering for Joint Parameter Learning and State Estimation

    Nemeth, C., Fearnhead, P., Mihaylova, L. & Vorley, D., 7/07/2012, Information Fusion (FUSION), 2012 15th International Conference on. IEEE, p. 824-831 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  4. State estimation by IMM filter in the presence of structural uncertainty

    Mihaylova, L., 1999, Recent Advances in Signal Processing and Communications. Mastorakis, N. (ed.). Greece: World Scientific and Engineering Society (WSES) Press, p. 83-88 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter