The variational Bayes method in signal processing A Quinn, V Smidl Springer Science & Business Media, 2006 | 471* | 2006 |
Variational bayesian filtering VÁ Smidl, A Quinn IEEE Transactions on Signal Processing 56 (10), 5020-5030, 2008 | 154 | 2008 |
Advantages of square-root extended Kalman filter for sensorless control of AC drives V Smidl, Z Peroutka IEEE Transactions on Industrial Electronics 59 (11), 4189-4196, 2011 | 133 | 2011 |
Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters E Özkan, V Šmídl, S Saha, C Lundquist, F Gustafsson Automatica 49 (6), 1566-1575, 2013 | 121 | 2013 |
Adaptive speed control of induction motor drive with inaccurate model J Talla, VQ Leu, V Šmídl, Z Peroutka IEEE Transactions on Industrial Electronics 65 (11), 8532-8542, 2018 | 85 | 2018 |
Tracking of atmospheric release of pollution using unmanned aerial vehicles V Šmídl, R Hofman Atmospheric Environment 67, 425-436, 2013 | 76 | 2013 |
On Bayesian principal component analysis V Šmídl, A Quinn Computational statistics & data analysis 51 (9), 4101-4123, 2007 | 57 | 2007 |
Marginalized particle filters for Bayesian estimation of Gaussian noise parameters S Saha, E Özkan, F Gustafsson, V Šmídl 2010 13th International Conference on Information Fusion, 1-8, 2010 | 49 | 2010 |
Are generative deep models for novelty detection truly better? V Škvára, T Pevný, V Šmídl arXiv preprint arXiv:1807.05027, 2018 | 48 | 2018 |
Improved stability of DC catenary fed traction drives using two-stage predictive control V Šmídl, Š Janouš, Z Peroutka IEEE Transactions on Industrial Electronics 62 (5), 3192-3201, 2015 | 41 | 2015 |
Bayesian blind separation and deconvolution of dynamic image sequences using sparsity priors O Tichý, V Šmídl IEEE transactions on medical imaging 34 (1), 258-266, 2014 | 41 | 2014 |
Challenges and limits of extended Kalman Filter based sensorless control of permanent magnet synchronous machine drives Z Peroutka, V Smidl, D Vosmik 2009 13th European Conference on Power Electronics and Applications, 1-11, 2009 | 41 | 2009 |
Direct speed control of a PMSM drive using SDRE and convex constrained optimization V Šmídl, Š Janouš, L Adam, Z Peroutka IEEE Transactions on Industrial Electronics 65 (1), 532-542, 2017 | 40 | 2017 |
Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011 O Tichý, V Šmídl, R Hofman, K Šindelářová, M Hýža, A Stohl Atmospheric Chemistry and Physics 17 (20), 12677-12696, 2017 | 35 | 2017 |
Fast AHRS filter for accelerometer, magnetometer, and gyroscope combination with separated sensor corrections J Justa, V Šmídl, A Hamáček Sensors 20 (14), 3824, 2020 | 32 | 2020 |
Rao-Blackwellized point mass filter for reliable state estimation V Šmídl, M Gašperin Proceedings of the 16th International Conference on Information Fusion, 312-318, 2013 | 32 | 2013 |
LS-APC v1. 0: a tuning-free method for the linear inverse problem and its application to source-term determination O Tichý, V Šmídl, R Hofman, A Stohl Geoscientific Model Development 9 (11), 4297-4311, 2016 | 28 | 2016 |
Blind deconvolution with model discrepancies J Kotera, V Šmídl, F Šroubek IEEE transactions on image processing 26 (5), 2533-2544, 2017 | 27 | 2017 |
Mixture-based extension of the AR model and its recursive Bayesian identification V Smídl, A Quinn IEEE Transactions on Signal Processing 53 (9), 3530-3542, 2005 | 27 | 2005 |
Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems D Sidorov, D Panasetsky, V Šmídl 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2010 | 24 | 2010 |