Robust inference for state-space models with skewed measurement noise H Nurminen, T Ardeshiri, R Piche, F Gustafsson IEEE Signal Processing Letters 22 (11), 1898-1902, 2015 | 128 | 2015 |
Approximate Bayesian smoothing with unknown process and measurement noise covariances T Ardeshiri, E Özkan, U Orguner, F Gustafsson IEEE Signal Processing Letters 22 (12), 2450-2454, 2015 | 114 | 2015 |
Maximum entropy properties of discrete-time first-order stable spline kernel T Chen, T Ardeshiri, FP Carli, A Chiuso, L Ljung, G Pillonetto Automatica 66, 34-38, 2016 | 56 | 2016 |
Skew-t filter and smoother with improved covariance matrix approximation H Nurminen, T Ardeshiri, R Piché, F Gustafsson IEEE Transactions on Signal Processing, 2018 | 55 | 2018 |
A NLOS-robust TOA positioning filter based on a skew-t measurement noise model H Nurminen, T Ardeshiri, R Piché, F Gustafsson Indoor Positioning and Indoor Navigation (IPIN), 2015 International …, 2015 | 49 | 2015 |
Convex optimization approach for time-optimal path tracking of robots with speed dependent constraints T Ardeshiri, M Norrlöf, J Löfberg, A Hansson IFAC Proceedings Volumes 44 (1), 14648-14653, 2011 | 49 | 2011 |
Robust Bayesian Filtering and Smoothing Using Student's t Distribution M Roth, T Ardeshiri, E Özkan, F Gustafsson arXiv preprint arXiv:1703.02428, 2017 | 30 | 2017 |
Greedy reduction algorithms for mixtures of exponential family T Ardeshiri, K Granström, E Özkan, U Orguner IEEE Signal Processing Letters 22 (6), 676-680, 2015 | 20 | 2015 |
Bicycle tracking using ellipse extraction T Ardeshiri, F Larsson, F Gustafsson, TB Schön, M Felsberg Information Fusion (FUSION), 2011 Proceedings of the 14th International …, 2011 | 19 | 2011 |
On mixture reduction for multiple target tracking T Ardeshiri, U Orguner, C Lundquist, TB Schön Information Fusion (FUSION), 2012 15th International Conference on, 692-699, 2012 | 16 | 2012 |
Bayesian inference via approximation of log-likelihood for priors in exponential family T Ardeshiri, U Orguner, F Gustafsson arXiv preprint arXiv:1510.01225, 2015 | 15 | 2015 |
An adaptive PHD filter for tracking with unknown sensor characteristics T Ardeshiri, E Özkan Information Fusion (FUSION), 2013 16th International Conference on, 1736-1743, 2013 | 9 | 2013 |
Gaussian mixture reduction using reverse Kullback-Leibler divergence T Ardeshiri, U Orguner, E Özkan arXiv preprint arXiv:1508.05514, 2015 | 8 | 2015 |
Nonasymptotic Gaussian Approximation for Inference with Stable Noise M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill | 8* | |
Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study BI Ahmad, T Ardeshiri, P Langdon, SJ Godsill, T Popham Information Fusion (Fusion), 2017 20th International Conference on, 1-7, 2017 | 7 | 2017 |
Offset eliminative map matching algorithm for intersection active Safety applications T Ardeshiri, S Kharrazi, R Thomson, J Bargman Intelligent Vehicles Symposium, 2006 IEEE, 82-88, 2006 | 7 | 2006 |
A central limit theorem with application to inference in α-stable regression models M Riabiz, T Ardeshiri, S Godsill NIPS 2016 Time Series Workshop, 70-82, 2017 | 6 | 2017 |
Mean and covariance matrix of a multivariate normal distribution with one doubly-truncated component H Nurminen, R Rui, T Ardeshiri, A Bazanella, F Gustafsson | 6 | 2016 |
Efficient bridging-based destination inference in object tracking T Ardeshiri, BI Ahmad, PM Langdon, SJ Godsill Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 5 | 2017 |
On reduction of mixtures of the exponential family distributions T Ardeshiri, E Özkan, U Orguner Linköping University Electronic Press, 2013 | 5 | 2013 |