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 | 440 | 2006 |
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 | 240 | 2006 |
The 2011 signal separation evaluation campaign (SiSEC2011):-audio source separation S Araki, F Nesta, E Vincent, Z Koldovský, G Nolte, A Ziehe, A Benichoux Latent Variable Analysis and Signal Separation: 10th International …, 2012 | 193 | 2012 |
The 2013 signal separation evaluation campaign N Ono, Z Koldovský, S Miyabe, N Ito 2013 IEEE International workshop on machine learning for signal processing …, 2013 | 122 | 2013 |
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 | 79 | 2018 |
Optimal pairing of signal components separated by blind techniques P Tichavsky, Z Koldovsky IEEE Signal Processing Letters 11 (2), 119-122, 2004 | 77 | 2004 |
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 |
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 | 74 | 2008 |
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 | 69 | 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 | 69 | 2008 |
Blind signal separation by combining two ICA algorithms: HOS-based EFICA and time structure-based WASOBI P Tichavský, Z Koldovský, E Doron, A Yeredor, G Gómez-Herrero 2006 14th European Signal Processing Conference, 1-5, 2006 | 51 | 2006 |
Cramér-Rao-induced bounds for CANDECOMP/PARAFAC tensor decomposition P Tichavsky, AH Phan, Z Koldovsky IEEE Transactions on Signal Processing 61 (8), 1986-1997, 2013 | 49 | 2013 |
Spatial source subtraction based on incomplete measurements of relative transfer function Z Koldovský, J Málek, S Gannot IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (8), 1335 …, 2015 | 44 | 2015 |
Speed and accuracy enhancement of linear ICA techniques using rational nonlinear functions P Tichavský, Z Koldovský, E Oja International Conference on Independent Component Analysis and Signal …, 2007 | 43 | 2007 |
Methods of fair comparison of performance of linear ICA techniques in presence of additive noise Z Koldovsky, P Tichavsky 2006 IEEE international conference on acoustics speech and signal processing …, 2006 | 38 | 2006 |
Blind separation of piecewise stationary non-Gaussian sources Z Koldovský, J Málek, P Tichavský, Y Deville, S Hosseini Signal Processing 89 (12), 2570-2584, 2009 | 34 | 2009 |
Blind instantaneous noisy mixture separation with best interference-plus-noise rejection Z Koldovský, P Tichavský International conference on independent component analysis and signal …, 2007 | 32 | 2007 |
Semi-blind noise extraction using partially known position of the target source Z Koldovský, P Tichavský, F Nesta IEEE Transactions on Audio, Speech, and Language Processing 21 (10), 2029-2041, 2013 | 30 | 2013 |
Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors J Janský, J Málek, J Čmejla, T Kounovský, Z Koldovský, J Žd’ánský ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 27 | 2020 |
Supervised independent vector analysis through pilot dependent components F Nesta, Z Koldovský 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |