Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
R.-S. Götte, J. Timmermann, in: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), 2023, pp. 85–90.
LibreCat: /record/34171
DOI: https://doi.org/10.1016/j.ifacol.2023.02.015

Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF
R.-S. Götte, J. Timmermann, in: IFAC-PapersOnLine, 2023, pp. 869–874.
LibreCat: /record/44326

A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
A. Bender, Machines 9 (2021).
LibreCat: /record/25046
DOI: 10.3390/machines9100210

Filtering Undesirable Flows in Networks
G. Polevoy, S. Trajanovski, P. Grosso, C. de Laat, in: Combinatorial Optimization and Applications: 11th International Conference, COCOA 2017, Shanghai, China, December 16-18, 2017, Proceedings, Part I, Springer International Publishing, Cham, 2017, pp. 3–17.
LibreCat: /record/17652
DOI: 10.1007/978-3-319-71150-8_1

PEM fuel cell prognostics using particle filter with model parameter adaptation
J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.
LibreCat: /record/9879
DOI: 10.1109/ICPHM.2014.7036406

Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter
M. Bevermeier, O. Walter, S. Peschke, R. Haeb-Umbach, in: 7th Workshop on Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.
LibreCat: /record/11726
DOI: 10.1109/WPNC.2010.5650745

Robust vehicle localization based on multi-level sensor fusion and online parameter estimation
M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 235–242.
LibreCat: /record/11723
DOI: 10.1109/WPNC.2009.4907833

Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning
M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.
LibreCat: /record/11724
DOI: 10.1109/VETECS.2009.5073634

Modeling the dynamics of speech and noise for speech feature enhancement in ASR
S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 4409–4412.
LibreCat: /record/11939
DOI: 10.1109/ICASSP.2008.4518633

OFDM Channel Estimation Based on Combined Estimation in Time and Frequency Domain
R. Haeb-Umbach, M. Bevermeier, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), 2007, pp. III-277-III–280.
LibreCat: /record/11785
DOI: 10.1109/ICASSP.2007.366526

Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition
E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 15 (2007) 1529–1539.
LibreCat: /record/11927
DOI: 10.1109/TASL.2007.898454

Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters
S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.
LibreCat: /record/11943
DOI: 10.1109/ICASSP.2006.1660058

Acoustic filter-and-sum beamforming by adaptive principal component analysis
E. Warsitz, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, p. iv/797-iv/800 Vol. 4.
LibreCat: /record/11930
DOI: 10.1109/ICASSP.2005.1416129

Robust speaker direction estimation with particle filtering
E. Warsitz, R. Haeb-Umbach, in: IEEE Workshop on Multimedia Signal Processing (MMSP 2004), 2004, pp. 367–370.
LibreCat: /record/11931
DOI: 10.1109/MMSP.2004.1436569