Vaclav Smidl
Vaclav Smidl
Institute of Information Theory and Automation & University of West Bohemia & Czech Technical
Verified email at utia.cas.cz
Title
Cited by
Cited by
Year
The variational Bayes method in signal processing
A Quinn, V Smidl
Springer Science & Business Media, 2006
390*2006
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
1092011
Variational bayesian filtering
V Smidl, A Quinn
IEEE Transactions on Signal Processing 56 (10), 5020-5030, 2008
1092008
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
872013
Tracking of atmospheric release of pollution using unmanned aerial vehicles
V Šmídl, R Hofman
Atmospheric Environment 67, 425-436, 2013
572013
On Bayesian principal component analysis
V Šmídl, A Quinn
Computational statistics & data analysis 51 (9), 4101-4123, 2007
522007
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
392010
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
382009
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
332014
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
272018
Mixture-based extension of the AR model and its recursive Bayesian identification
V Smidl, A Quinn
IEEE Transactions on Signal Processing 53 (9), 3530-3542, 2005
272005
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
262013
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
242017
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
242015
Are generative deep models for novelty detection truly better?
V Škvára, T Pevný, V Šmídl
arXiv preprint arXiv:1807.05027, 2018
222018
Reduced-order square-root EKF for sensorless control of PMSM drives
V Šmídl, Z Peroutka
IECON 2011-37th Annual Conference of the IEEE Industrial Electronics Society …, 2011
222011
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
222010
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
162017
Blind deconvolution with model discrepancies
J Kotera, V Šmídl, F Šroubek
IEEE Transactions on Image Processing 26 (5), 2533-2544, 2017
162017
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
152016
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