| Posterior Cramér-Rao bounds for discrete-time nonlinear filtering P Tichavsky, CH Muravchik, A Nehorai IEEE Transactions on signal processing 46 (5), 1386-1396, 1998 | 1684 | 1998 |
| Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound Z Koldovsky, P Tichavsky, E Oja IEEE Transactions on neural networks 17 (5), 1265-1277, 2006 | 433 | 2006 |
| Fast approximate joint diagonalization incorporating weight matrices P Tichavsky, A Yeredor IEEE Transactions on Signal Processing 57 (3), 878-891, 2008 | 242 | 2008 |
| Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis P Tichavsky, Z Koldovsky, E Oja IEEE transactions on Signal Processing 54 (4), 1189-1203, 2006 | 238 | 2006 |
| Near-field/far-field azimuth and elevation angle estimation using a single vector hydrophone P Tichavsky, KT Wong, MD Zoltowski IEEE Transactions on Signal Processing 49 (11), 2498-2510, 2001 | 229 | 2001 |
| Fast alternating LS algorithms for high order CANDECOMP/PARAFAC tensor factorizations AH Phan, P Tichavský, A Cichocki IEEE Transactions on Signal Processing 61 (19), 4834-4846, 2013 | 172 | 2013 |
| Filtering, predictive, and smoothing Cramér–Rao bounds for discrete-time nonlinear dynamic systems M Šimandl, J Královec, P Tichavský Automatica 37 (11), 1703-1716, 2001 | 172 | 2001 |
| Joint matrices decompositions and blind source separation: A survey of methods, identification, and applications G Chabriel, M Kleinsteuber, E Moreau, H Shen, P Tichavsky, A Yeredor IEEE Signal Processing Magazine 31 (3), 34-43, 2014 | 156 | 2014 |
| Stable low-rank tensor decomposition for compression of convolutional neural network AH Phan, K Sobolev, K Sozykin, D Ermilov, J Gusak, P Tichavský, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 137 | 2020 |
| Low complexity damped Gauss--Newton algorithms for CANDECOMP/PARAFAC AH Phan, P Tichavsky, A Cichocki SIAM Journal on Matrix Analysis and Applications 34 (1), 126-147, 2013 | 129 | 2013 |
| Comparative study of four adaptive frequency trackers P Tichavsky, A Nehorai IEEE Transactions on Signal Processing 45 (6), 1473-1484, 1997 | 101 | 1997 |
| Two algorithms for adaptive retrieval of slowly time-varying multiple cisoids in noise P Tichavsky, P Handel IEEE Transactions on Signal Processing 43 (5), 1116-1127, 1995 | 88 | 1995 |
| Optimal pairing of signal components separated by blind techniques P Tichavsky, Z Koldovsky IEEE Signal Processing Letters 11 (2), 119-122, 2004 | 76 | 2004 |
| Time-domain blind audio source separation using advanced component clustering and reconstruction Z Koldovsky, P Tichavsky 2008 Hands-Free Speech Communication and Microphone Arrays, 216-219, 2008 | 75 | 2008 |
| Weight adjusted tensor method for blind separation of underdetermined mixtures of nonstationary sources P Tichavsky, Z Koldovsky IEEE Transactions on Signal Processing 59 (3), 1037-1047, 2010 | 74 | 2010 |
| Gradient algorithms for complex non-gaussian independent component/vector extraction, question of convergence Z Koldovský, P Tichavský IEEE Transactions on Signal Processing 67 (4), 1050-1064, 2018 | 72 | 2018 |
| Cross-product algorithms for source tracking using an EM vector sensor A Nehorai, P Tichavsky IEEE Transactions on Signal Processing 47 (10), 2863-2867, 1999 | 69 | 1999 |
| Time-domain blind separation of audio sources on the basis of a complete ICA decomposition of an observation space Z Koldovsky, P Tichavský IEEE transactions on audio, speech, and language processing 19 (2), 406-416, 2010 | 68 | 2010 |
| A hybrid technique for blind separation of non-Gaussian and time-correlated sources using a multicomponent approach P Tichavsky, Z Koldovsky, A Yeredor, G Gómez-Herrero, E Doron IEEE Transactions on Neural Networks 19 (3), 421-430, 2008 | 68 | 2008 |
| CANDECOMP/PARAFAC decomposition of high-order tensors through tensor reshaping AH Phan, P Tichavský, A Cichocki IEEE Transactions on Signal Processing 61 (19), 4847-4860, 2013 | 61 | 2013 |
