| Improving reliability of particle filter-based localization in wireless sensor networks via hybrid particle/FIR filtering JM Pak, CK Ahn, YS Shmaliy, MT Lim IEEE Transactions on Industrial Informatics 11 (5), 1089-1098, 2015 | 258 | 2015 |
| Unbiased finite impluse response filtering: an iterative alternative to Kalman filtering ignoring noise and initial conditions YS Shmaliy, S Zhao, CK Ahn IEEE Control Systems Magazine 37 (5), 70-89, 2017 | 240 | 2017 |
| An iterative Kalman-like algorithm ignoring noise and initial conditions YS Shmaliy IEEE Transactions on Signal Processing 59 (6), 2465-2473, 2011 | 231 | 2011 |
| Linear optimal FIR estimation of discrete time-invariant state-space models YS Shmaliy IEEE Transactions on Signal Processing 58 (6), 3086-3096, 2010 | 208 | 2010 |
| Distributed hybrid particle/FIR filtering for mitigating NLOS effects in TOA based localization using wireless sensor networks JM Pak, CK Ahn, P Shi, YS Shmaliy, MT Lim IEEE Transactions on Industrial Electronics 64 (6), 5182-5191, 2017 | 178 | 2017 |
| An unbiased FIR filter for TIE model of a local clock in applications to GPS-based timekeeping YS Shmaliy IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 53 …, 2006 | 171 | 2006 |
| Fast Kalman-like optimal unbiased FIR filtering with applications S Zhao, Y Shmaliy, F Liu Signal Processing, IEEE Transactions on 64 (9), 2284-2297, 2016 | 150 | 2016 |
| Optimal memory for discrete-time FIR filters in state-space F Ramirez-Echeverria, A Sarr, YS Shmaliy Signal Processing, IEEE Transactions on 62 (3), 557-561, 2014 | 142 | 2014 |
| UWB-based indoor human localization with time-delayed data using EFIR filtering Y Xu, YS Shmaliy, Y Li, X Chen IEEE Access 5, 16676-16683, 2017 | 121 | 2017 |
| Unbiased FIR filtering of discrete-time polynomial state-space models YS Shmaliy IEEE Transactions on Signal Processing 57 (4), 1241-1249, 2008 | 103 | 2008 |
| Comparing Robustness of the Kalman, H∞, and UFIR Filters YS Shmaliy, F Lehmann, S Zhao, CK Ahn IEEE Transactions on Signal Processing 66 (13), 3447-3458, 2018 | 98 | 2018 |
| Fusion Kalman/UFIR filter for state estimation with uncertain parameters and noise statistics S Zhao, Y Shmaliy, P Shi, CK Ahn IEEE Transactions on Industrial Electronics 64 (4), 3075-3083, 2017 | 96 | 2017 |
| Switching extensible FIR filter bank for adaptive horizon state estimation with application JM Pak, CK Ahn, YS Shmaliy, P Shi, MT Lim Control Systems Technology, IEEE Transactions on 24 (3), 1052-1058, 2016 | 96 | 2016 |
| FIR smoothing of discrete-time polynomial signals in state space. YS Shmaliy, LJ Morales-Mendoza IEEE Transactions on Signal Processing 58 (5), 2544-2555, 2010 | 93 | 2010 |
| Suboptimal FIR filtering of nonlinear models in additive white Gaussian noise YS Shmaliy Signal Processing, IEEE Transactions on 60 (10), 5519 - 5527, 2012 | 92 | 2012 |
| Accurate self-localization in RFID tag information grids using FIR filtering J Pomarico-Franquiz, Y Shmaliy Industrial Informatics, IEEE Transactions on 10 (2), 1317 - 1326, 2014 | 89 | 2014 |
| Minimum variance unbiased FIR filter for discrete time-variant systems S Zhao, YS Shmaliy, B Huang, F Liu Automatica 53, 355-361, 2015 | 88 | 2015 |
| Adaptive robust INS/UWB-integrated human tracking using UFIR filter bank Y Xu, CK Ahn, YS Shmaliy, X Chen, Y Li Measurement 123, 1-7, 2018 | 85 | 2018 |
| Iterative unbiased FIR state estimation: a review of algorithms YS Shmaliy, D Simon EURASIP Journal on Advances in Signal Processing 2013, 1-16, 2013 | 83 | 2013 |
| Unified forms for Kalman and finite Impulse response filtering and smoothing D Simon, YS Shmaliy Automatica 49 (6), 1892-1899, 2013 | 82 | 2013 |
Oscar G Ibarra-ManzanoUniversidad de GuanajuatoEmail verificata su ugto.mx
