Vaclav Smidl
Vaclav Smidl
Institute of Information Theory and Automation & University of West Bohemia
E-mailová adresa ověřena na: utia.cas.cz
Název
Citace
Citace
Rok
The variational Bayes method in signal processing
A Quinn, V Smidl
Springer Science & Business Media, 2006
364*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
1022011
Variational bayesian filtering
V Smidl, A Quinn
IEEE Transactions on Signal Processing 56 (10), 5020-5030, 2008
992008
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
702013
Tracking of atmospheric release of pollution using unmanned aerial vehicles
V Šmídl, R Hofman
Atmospheric Environment 67, 425-436, 2013
522013
On Bayesian principal component analysis
V Šmídl, A Quinn
Computational statistics & data analysis 51 (9), 4101-4123, 2007
492007
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
372010
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
362009
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
312014
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
262005
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
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
232013
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
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
172017
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
172010
Are generative deep models for novelty detection truly better?
V Škvára, T Pevný, V Šmídl
arXiv preprint arXiv:1807.05027, 2018
152018
Automatic regions of interest in factor analysis for dynamic medical imaging
V Šmídl, O Tichý
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 158-161, 2012
152012
Marginalized particle filtering framework for tuning of ensemble filters
V Šmídl, R Hofman
Monthly weather review 139 (11), 3589-3599, 2011
152011
Bayesian tracking of the toxic plume spreading in the early stage of radiation accident
P Pecha, R Hofman, V Šmídl
Proceeding of European Simul. and Modelling Conference ESM, 2009
152009
Robust estimation of autoregressive processes using a mixture-based filter-bank
V Šmídl, A Quinn, M Kárný, TV Guy
Systems & control letters 54 (4), 315-323, 2005
152005
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20