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Publications - Petr Tichavský


Books and chapters (1)
1. * Zbyněk Koldovský, Petr Tichavský: Improved variants of the FastICA algorithm. Advances in Independent Component Analysis and Learning Machines, 53-74. Elsevier, Londýn 2015.   Download

Journal articles (60)
1. * Petr Tichavský, O. Straka, J. Duník: Grid-based Bayesian Filters with Functional Decomposition of Transient Density. IEEE Transactions on Signal Processing 71:2 (2023), 92-104.   Download
2. * Z. Koldovský, V. Kautský, Petr Tichavský: Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures - Algorithms. IEEE Transactions on Signal Processing 70:1 (2022), 5102-5116.   Download
3. * Z. Koldovský, V. Kautský, Petr Tichavský, J. Čmejla, J. Málek: Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers. IEEE Transactions on Signal Processing 69:1 (2021), 2158-2173.   Download
4. * Petr Tichavský, A. H. Phan, A. Cichocki: Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions. IEEE Journal on Selected Topics in Signal Processing 15:3 (2021), 550-559. Institute of Electrical and Electronics Engineers.   Download
5. * V. Kautský, Petr Tichavský, Z. Koldovský, T. Adali: Performance Bounds for Complex-Valued Independent Vector Analysis. IEEE Transactions on Signal Processing 68:1 (2020), 4258-4267.   Download
6. * A. H. Phan, A. Cichocki, A. Uschmajew, Petr Tichavský, G. Luta: Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Transactions on Neural Networks and Learning Systems 31:11 (2020), 4622-4636.   Download
7. * V. Kautský, Z. Koldovský, Petr Tichavský, V. Zarzoso: Cramér-Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models. IEEE Transactions on Signal Processing 68:10 (2020), 5230-5243.   Download
8. * A. H. Phan, Petr Tichavský, A. Cichocki: Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound. IEEE Transactions on Signal Processing 67:5 (2019), 1175-1190.   Download
9. * Z. Koldovský, Petr Tichavský: Gradient Algorithms for Complex Non-Gaussian Independent Component/Vector Extraction, Question of Convergence. IEEE Transactions on Signal Processing 67:4 (2019), 1050-1064.   Download
10. * Petr Tichavský, A. H. Phan, A. Cichocki: Sensitivity in tensor decomposition. IEEE Signal Processing Letters 26:11 (2019), 1653-1657. Institute of Electrical and Electronics Engineers.   Download
11. * Petr Tichavský, A. H. Phan, A. Cichocki: Numerical CP Decomposition of Some Difficult Tensors. Journal of Computational and Applied Mathematics 317:1 (2017), 362-370. Elsevier.   Download
12. * Petr Tichavský, A. H. Phan, A. Cichocki: Non-orthogonal tensor diagonalization. Signal Processing 138:1 (2017), 313-320. Elsevier.   Download
13. * Petr Tichavský, A. H. Phan, A. Cichocki: Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition. IEEE Signal Processing Letters 23:7 (2016), 993-997. Institute of Electrical and Electronics Engineers.   Download
14. * A. H. Phan, Petr Tichavský, A. Cichocki: Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm. IEEE Transactions on Signal Processing 63:22 (2015), 5924-5938.   Download
15. * A. H. Phan, Petr Tichavský, A. Cichocki: Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis. IEEE Transactions on Signal Processing 63:22 (2015), 5939-5950.   Download
16. * Jiří Vomlel, Petr Tichavský: Probabilistic inference with noisy-threshold models based on a CP tensor decomposition. International Journal of Approximate Reasoning 55:4 (2014), 1072-1092. Elsevier.   Download
17. * G. Chabriel, M. Kleinsteuber, E. Moreau, H. Shen, Petr Tichavský, A. Yeredor: Joint Matrices Decompositions and Blind Source Separation. IEEE Signal Processing Magazine 31:3 (2014), 34-43.   Download
18. * A. H. Phan, Petr Tichavský, A. Cichocki: Low Complexity Damped Gauss-Newton algorithms for CANDECOMP/PARAFAC. SIAM Journal on Matrix Analysis and Applications 34:1 (2013), 126-147. SIAM Society for Industrial and Applied Mathematics.   Download
19. * A. H. Phan, Petr Tichavský, A. Cichocki: Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations. IEEE Transactions on Signal Processing 61:19 (2013), 4834-4846.   Download
20. * Petr Tichavský, A. H. Phan, Zbyněk Koldovský: Cramér-Rao-Induced Bounds for CANDECOMP/ PARAFAC Tensor Decomposition. IEEE Transactions on Signal Processing 61:8 (2013), 1986-1997.   Download
21. * A. H. Phan, Petr Tichavský, A. Cichocki: CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping. IEEE Transactions on Signal Processing 61:19 (2013), 4847-4860.   Download
22. * Zbyněk Koldovský, J. Málek, Petr Tichavský, F. Nesta: Semi-Blind Noise Extraction Using Partially Known Position of the Target Source. IEEE Transactions on Audio Speech and Language Processing 21:10 (2013), 2029-2041.   Download
23. * Zbyněk Koldovský, Petr Tichavský, A. H. Phan, A. Cichocki: A Two-Stage MMSE Beamformer for Underdetermined Signal Separation. IEEE Signal Processing Letters 20:12 (2013), 1227-1230. Institute of Electrical and Electronics Engineers.   Download
24. * Miroslav Zima, Petr Tichavský, K. Paul, V. Krajča: Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions. Physiological Measurement 33:8 (2012), 39-49. Institute of Physics Publishing.   Download
25. * Zbyněk Koldovský, Petr Tichavský: Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space. IEEE Transactions on Audio Speech and Language Processing 19:2 (2011), 406-416.   Download
26. * Petr Tichavský, Zbyněk Koldovský: Fast and accurate methods of independent component analysis: A survey. Kybernetika 47:3 (2011), 426-438. Ústav teorie informace a automatizace AV ČR, v. v. i..   Download
27. * Petr Tichavský, Zbyněk Koldovský: Weight adjusted tensor method for blind separation of underdetermined mixtures of nonstationary sources. IEEE Transactions on Signal Processing 59:3 (2011), 1037-1047.   Download
28. * Petr Tichavský, A. Yeredor: Fast Approximate Joint Diagonalization Incorporating Weight Matrices. IEEE Transactions on Signal Processing 57:3 (2009), 878-891.   Download
29. * Zbyněk Koldovský, J. Málek, Petr Tichavský, Y. Deville, S. Hosseini: Blind Separation of Piecewise Stationary NonGaussian Sources. Signal Processing 89:12 (2009), 2570-2584. Elsevier.   Download
30. * Petr Tichavský, Zbyněk Koldovský, A. Yeredor, G. Gómez-Herrero, E. Doron: A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach. IEEE Transactions on Neural Networks 19:3 (2008), 421-430.
31. * Petr Tichavský, Zbyněk Koldovský, E. Oja: Corrections to "Performance Analysis of the FastICA Algorithm and Cramér-Rao Bounds for Linear Independent Component Analysis". IEEE Transactions on Signal Processing 56:4 (2008), 1715-1716.
32. * Zbyněk Koldovský, Petr Tichavský: Blind instantaneous noisy mixture separation with best interference-plus-noise rejection. Lecture Notes in Computer Science 2007, 730-737.
33. * E. Doron, A. Yeredor, Petr Tichavský: Cramer-Rao-Induced Bound for Blind Separation of Stationary Parametric Gaussian Sources. IEEE Signal Processing Letters 14:6 (2007), 417-420. Institute of Electrical and Electronics Engineers.
34. * Petr Tichavský, Zbyněk Koldovský, E. Oja: Speed and accuracy enhancement of linear ICA techniques using rational nonlinear functions. Lecture Notes in Computer Science 4666 (2007), 285-292.
35. * Petr Tichavský, Zbyněk Koldovský, E. Oja: Performance analysis of the FastICA algorithm and Cramér-Rao bounds for linear independent component analysis. IEEE Transactions on Signal Processing 54:4 (2006), 1189-1203.
36. * K. T. Wong, Petr Tichavský, S. K. Cheung, G. Liao: A new pre-processing technique to enhance single-user-type DS-CDMA detectors in "blind" space-time rake receivers. IEEE Transactions on Wireless Communications 5:10 (2006), 2932-2944.
37. * Zbyněk Koldovský, Petr Tichavský, E. Oja: Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the Cramer-Rao Lower Bound. IEEE Transactions on Neural Networks 17:5 (2006), 1265-1277.
38. * Milan Paluš, Dagmar Novotná, Petr Tichavský: Shifts of Seasons at the European Mid-latitudes: Natural Fluctuations Correlated with the North Atlantic Oscillations. Geophysical Research Letters 32:12 (2005). Wiley.
39. * Petr Tichavský, K. T. Wong: Analytical derivation of finite-data-record performance of Wong-Lok-Lehnert-Zoltowski's DS-CDMA "blind" space-time receiver. IEEE Transactions on Signal Processing 53:4 (2005), 1485-1499.
40. * M. Dobeš, L. Machala, Petr Tichavský, J. Pospíšil: Human eye iris recognition using the mutual information. Optik 115:9 (2004), 399-404. Elsevier.
41. * Petr Tichavský, Zbyněk Koldovský: Optimal pairing of signal components separated by blind techniques. IEEE Signal Processing Letters 11:2 (2004), 119-122. Institute of Electrical and Electronics Engineers.
42. * Petr Tichavský, K. T. Wong: Quasi-fluid-mechanics-based quasi-Bayesian Cramer-Rao bounds for deformed towed-array direction finding. IEEE Transactions on Signal Processing 52:1 (2004), 36-47.
43. * M. Šimandl, J. Královec, Petr Tichavský: Filtering, predictive, and smoothing Cramér-Rao bounds for discrete-time nonlinear dynamic systems. Automatica 37:11 (2001), 1703-1716. Elsevier.
44. * Petr Tichavský, K. T. Wong, M. Zoltowski: Near-field/far-field azimuth and elevation angle estimation using a single vector hydrophone. IEEE Transactions on Signal Processing 49:11 (2001), 2498-2510.
45. * Petr Tichavský, P. Händel: Multicomponent polynomial phase signal analysis using a tracking algorithm. IEEE Transactions on Signal Processing 47:5 (1999), 1390-1395.
46. * A. Nehorai, Petr Tichavský: Cross-product algorithms for source tracking using an EM vector sensor. IEEE Transactions on Signal Processing 47:10 (1999), 2863-2867.
47. * A. Swami, Petr Tichavský: Strong ergodicity conditions for the n-th order moment (cumulant) of multiple sinusoids. Signal Processing 65:2 (1998), 257-266. Elsevier.
48. * P. Händel, Petr Tichavský, S. M. Savaresi: Large error recovery for a class of frequency tracking algorithms. International Journal of Adaptive Control and Signal Processing 12:5 (1998), 417-436. Wiley.
49. * Petr Tichavský, C. Muravchik, A. Nehorai: Posterior Cramér-Rao bounds for discrete-time nonlinear filtering. IEEE Transactions on Signal Processing 46:5 (1998), 1386-1396.
50. * Petr Tichavský, Pavel Boček: Detection of influential points by convex hull volume minimization. Kybernetika 34:5 (1998), 515-534. Ústav teorie informace a automatizace AV ČR, v. v. i..
51. * Petr Tichavský, P. Händel: Recursive estimation of frequencies and frequency rates of multiple cisoids in noise. Signal Processing 58:2 (1997), 117-129. Elsevier.
52. * Petr Tichavský, A. Nehorai: Comparative study of four adaptive frequency trackers. IEEE Transactions on Signal Processing 45:6 (1997), 1473-1484.
53. * P. Händel, Petr Tichavský: Frequency rate estimation at high SNR. IEEE Transactions on Signal Processing 45:8 (1997), 2101-2105.
54. * P. Händel, Petr Tichavský: Asymptotic noise gain of polynomial predictors. Signal Processing 62:2 (1997), 247-250. Elsevier.
55. * Petr Tichavský, A. Swami: Statistical characterization of sample fourth-order cumulants of a noisy complex sinusoidal process. IEEE Transactions on Signal Processing 43:7 (1995), 1620-1630.
56. * Petr Tichavský: Posterior Cramér-Rao Bound for adaptive harmonic retrieval. IEEE Transactions on Signal Processing 43:5 (1995), 1299-1302.
57. * Petr Tichavský, P. Händel: Two algorithms for adaptive retrieval of slowly time-varying multiple cisoids in noise. IEEE Transactions on Signal Processing 43:5 (1995), 1116-1127.
58. * Petr Tichavský, P. Händel: Adaptive filtering for periodic signal enhancement and tracking. International Journal of Adaptive Control and Signal Processing 8:5 (1994), 447-456. Wiley.
59. * Petr Tichavský: High-SNR Asymptotics for Signal-Subspace Methods in Sinusoidal Frequency Estimation. IEEE Transactions on Signal Processing 41:7 (1993), 2448-2460.
60. * Petr Tichavský: Algorithms for and Geometrical Characterization of Solutions in the LMS and LTS Linear Regression. Computational Statistics Quarterly 6:2 (1991), 139-151.

Conference papers (87)
1. * O. Straka, J. Duník, Petr Tichavský: Point-mass filter with functional decomposition of transient density and two-level convolution. IFAC-PapersOnLine. Volume 56, Issue 2 - 22nd IFAC World Congress, 7516-7520. Elsevier, Amsterdam 2023.   Download
2. * Petr Tichavský, A. H. Phan: Tensor Chain Decomposition and Function Interpolation. Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, 557-561. IEEE, Piscataway 2023.   Download
3. * Petr Tichavský, O. Straka, J. Duník: Point-Mass Filter with Decomposition of Transient Density. 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, 5752-5756. IEEE, Singapore 2022.   Download
4. * A. H. Phan, Petr Tichavský, K. Sobolev, K. Sozykin, D. Ermilov, A. Cichocki: Canonical polyadic tensor decomposition with low-rank factor matrices. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4690-4694. IEEE, Piscataway 2021.   Download
5. * Petr Tichavský, A. H. Phan, A. Cichocki: Weighted Krylov-Levenberg-Marquardt method for canonical polyadic tensor decomposition. 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2020, 3917-3921. IEEE, Piscataway 2020.   Download
6. * A. H. Phan, K. Sobolev, K. Sozykin, D. Ermilov, J. Gusak, Petr Tichavský, V. Glukhov, I. Oseledets, A. Cichocki: Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. ECCV 2020, 522-539. Springer Nature Switzerland AG 2020, Cham 2020.   Download
7. * Václav Kautský, Z. Koldovský, Petr Tichavský: Performance bound for blind extraction of non-Gaussian complex-valued vector component from Gaussian background. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2019, 5287-5291. IEEE, Brighton, UK 2019.   Download
8. * Z. Koldovský, Petr Tichavský, N. Ono: Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background Without ICA. Latent Variable Analysis and Signal Separation, 161-170. Springer, Cham 2018.   Download
9. * Petr Tichavský, Jiří Vomlel: Representations of Bayesian Networks by Low-Rank Models. Proceedings of Machine Learning Research, 463-472. UTIA, Praha 2018.   Download
10. * A. H. Phan, Petr Tichavský, A. Cichocki: Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization. Latent Variable Analysis and Signal Separation, 13th International Conference, LVA/ICA 2017, 36-46. Springer, Cham 2017.   Download
11. * A. H. Phan, Petr Tichavský, A. Cichocki: Partitioned Hierarchical Alternating Least Squares Algorithm for CP Tensor Decomposition. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2017, 2542-2546. IEEE, New Orleans 2017.   Download
12. * Ondřej Šembera, Petr Tichavský, Z. Koldovský: Adaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources. Latent Variable Analysis and Signal Separation, 13th International Conference, LVA/ICA 2017, 172-181. Springer, Cham 2017.   Download
13. * Petr Tichavský, A. H. Phan, A. Cichocki: Under-Determined Tensor Diagonalization for Decomposition of Difficult Tensors. IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 , 263-266. IEEE, Piscataway 2017.   Download
14. * Z. Koldovský, Petr Tichavský, V. Kautský: Orthogonally constrained independent component extraction: Blind MPDR beamforming. Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), 1195-1199. EURASIP, Atheny 2017.   Download
15. * V. Kautský, Z. Koldovský, Petr Tichavský: Cramer-Rao-Induced Bound for Interference-to-Signal Ratio Achievable through Non-Gaussian Independent Component Extraction. IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 , 94-97. IEEE, Piscataway 2017.   Download
16. * Ondřej Šembera, Petr Tichavský, Z. Koldovský: Blind separation of underdetermined linear mixtures based on source nonstationarity and AR(1) modeling. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Proocessing, 4323-4327. IEEE, Piscataway 2016.   Download
17. * A. H. Phan, Petr Tichavský, A. Cichocki: Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Proocessing, 2549-2553. IEEE, Piscataway 2016.   Download
18. * K. Naskovska, M. Haardt, Petr Tichavský, G. Chabriel, J. Barrere: Extension of the semi-algebraic framework for approximate CP decompositions via non-symmetric simultaneous matrix diagonalization. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Proocessing, 2971-2975. IEEE, Piscataway 2016.   Download
19. * Petr Tichavský, A. H. Phan, A. Cichocki: Two-sided diagonalization of order-three tensors. Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), 998-1002. IEEE Computer Society, Piscataway 2015.   Download
20. * Petr Tichavský, Ondřej Šembera, Zbyněk Koldovský: Blind Separation of Mixtures of Piecewise AR(1) Processes and Model Mismatch. Latent Variable Analysis and Signal Separation, 304-311. Springer, Heidelberg 2015.   Download
21. * A. H. Phan, Petr Tichavský, A. Cichocki: Low rank tensor deconvolution. Proceedings of 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2169-2173. IEEE Computer Society, Piscataway 2015.   Download
22. * A. H. Phan, Petr Tichavský, A. Cichocki: Rank Splitting for CANDECOMP/PARAFAC. Latent Variable Analysis and Signal Separation, 31-40. Springer, Heidelberg 2015.   Download
23. * Zbyněk Koldovský, J. Málek, Petr Tichavský: Improving Relative Transfer Function Estimates Using Second-Order Cone Programming. Latent Variable Analysis and Signal Separation, 227-234. Springer, Heidelberg 2015.   Download
24. * Zbyněk Koldovský, Petr Tichavský: A Homotopy Recursive-in-Model-Order Algorithm for Weighted LASSO. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4179-4183. IEEE, Piscataway 2014.   Download
25. * A. H. Phan, Petr Tichavský, A. Cichocki: Deflation Method for CANDECOMP/PARAFAC Tensor Decomposition. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 6736-6740. IEEE, Piscataway 2014.   Download
26. * A. H. Phan, A. Cichocki, Petr Tichavský: On Fast Algorithms for Orthogonal Tucker Decomposition. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 6766-6770. IEEE, Piscataway 2014.   Download
27. * Zbyněk Koldovský, J. Málek, M. Muller, Petr Tichavský: On semi-blind estimation of echo paths during double-talk based on nonstationarity. 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC), 198-202. IEEE, USA 2014.   Download
28. * Jiří Vomlel, Petr Tichavský: An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper. Probabilistic Graphical Models, 535-550. Springer International Publishing, Cham Heidelberg NewYork Dordrecht London 2014.   Download
29. * Petr Tichavský, A. H. Phan, A. Cichocki: A Further Improvement of a Fast Damped Gauss–Newton Algorithm for CANDECOMP-PARAFAC Tensor Decomposition. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, 5964-5968. IEEE, Vancouver 2013.   Download
30. * A. H. Phan, A. Cichocki, Petr Tichavský, R. Zdunek, S. Lehky: From Basis Components to Complex Structural Patterns. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, 3228-3232. IEEE, Vancouver 2013.   Download
31. * A. H. Phan, A. Cichocki, Petr Tichavský, G. Luta, A. Brockmeier: Tensor Completion Through Multiple Kronecker Product Decomposition. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, 3233-3237. IEEE, Vancouver 2013.   Download
32. * Zbyněk Koldovský, Petr Tichavský, D. Botka: Noise Reduction in Dual-Microphone Mobile Phones Using a Bank of Pre-Measured Target-Cancellation Filters. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, 679-683. IEEE, Vancouver 2013.   Download
33. * Jiří Vomlel, Petr Tichavský: Probabilistic Inference in BN2T Models by Weighted Model Counting. Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 275-284. IOS Press, Amsterdam 2013.   Download
34. * J. Málek, Zbyněk Koldovský, S. Gannot, Petr Tichavský: Informed generalized sidelobe canceler utilizing sparsity of speech signals. Proceedings of MLSP2013. IEEE, Piscataway, USA 2013.   Download
35. * J. Malek, Zbyněk Koldovský, Petr Tichavský: Semi-blind Source Separation Based on ICA and Overlapped Speech Detection. Latent Variable Analysis and Signal Separation, 462-469. Springer, Heidelberg 2012.   Download
36. * A. H. Phan, A. Cichocki, Petr Tichavský, Zbyněk Koldovský: On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations. Latent Variable Analysis and Signal Separation, 288-296. Springer, Heidelberg 2012.   Download
37. * Petr Tichavský, A. Yeredor, Zbyněk Koldovský: On Computation of Approximate Joint Block-Diagonalization Using Ordinary AJD. Latent Variable Analysis and Signal Separation, 163-171. Springer, Heidelberg 2012.   Download
38. * A. H. Phan, A. Cichocki, Petr Tichavský, D. Mandic, K. Matsuoka: On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. Latent Variable Analysis and Signal Separation, 297-305. Springer, Heidelberg 2012.   Download
39. * A. H. Phan, Petr Tichavský, A. Cichocki, Z. Koldovský: Low-rank blind nonnegative matrix deconvolution. IEEE International Conference on Acoustics, Speech, and Signal Processing 2012, 1893-1896. IEEE, Kyoto 2012.   Download
40. * Petr Tichavský, Zbyněk Koldovský: Algorithms for nonorthogonal approximate joint block-diagonalization. 20th European Signal Processing Conference (EUSIPCO 2012), 2094-2098. EURASIP, Bucharest 2012.   Download
41. * Jiří Vomlel, Petr Tichavský: Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition. Proceedings of The Sixth European Workshop on Probabilistic Graphical Models, 355-362. DECSAI, University of Granada, Granada 2012.   Download
42. * Zbyněk Koldovský, A. H. Phan, Petr Tichavský, A. Cichocki: A treatment of EEG data by underdetermined blind source separation for motor imagery classification. 20th European Signal Processing Conference (EUSIPCO 2012), 1484-1488. EURASIP, Bucharest 2012.   Download
43. * Petr Tichavský, Zbyněk Koldovský: Stability of CANDECOMP-PARAFAC tensor decomposition. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011, 4164-4167. IEEE, Piscataway 2011.   Download
44. * Petr Tichavský, Miroslav Zima, V. Krajča: Automatic Removal of Sparse Artifacts in Electroencephalogram. Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011, 530-535. SciTePress, Lisabon 2011.   Download
45. * A. H. Phan, Petr Tichavský, A. Cichocki: Fast damped Gauss-Newton algorithm for sparse and nonnegative tensor factorization. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011, 1988-1991. IEEE, Piscataway 2011.   Download
46. * Zbyněk Koldovský, Petr Tichavský, A. H. Phan: Stability Analysis and Fast Damped-Gauss-Newton Algorithm for INDSCALTensor Decomposition. 2011 IEEE Statistical Signal Processing Workshop (SSP) Proceedings, 581-584. IEEE Signal Processing Society, Nice 2011.   Download
47. * Zbyněk Koldovský, J. Málek, Petr Tichavský: Blind Speech Separation in Time-Domain Using Block-Toeplitz Structure of Reconstructed Signal Matrices. Proceedings of the 12th Annual Conference of the International Speech Communication Association (Interspeech 2011), 561-564. ISCA, International Speech Communication Association, Florence 2011.   Download
48. * A. H. Phan, Petr Tichavský, A. Cichocki: Damped Gauss-Newton algorithm for nonnegative Tucker Decomposition. 2011 IEEE Statistical Signal Processing Workshop (SSP) Proceedings, 669-672. IEEE Signal Processing Society, Nice 2011.   Download
49. * Petr Tichavský, Zbyněk Koldovský: Simultanous search for all modes in multilinear models. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing 2010, 4114-4117. IEEE, Dallas 2010.   Download
50. * J. Málek, Zbyněk Koldovský, Petr Tichavský: Adaptive Time-Domain Blind Separation of Speech Signals. Lecture Notes in Computer Science, 9-16. Springer-Verlag, Heidelberg 2010.   Download
51. * Zbyněk Koldovský, Petr Tichavský, J. Málek: Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure. Lecture Notes in Computer Science, 17-24. Springer-Verlag, Heidelberg 2010.   Download
52. * Zbyněk Koldovský, Petr Tichavský, J. Málek: Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank. Lecture Notes in Computer Science, 25-32. Springer-Verlag, Heidelberg 2010.   Download
53. * Petr Tichavský, A. Yeredor, Zbyněk Koldovský: A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes. Proceedings of 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3133-3136. IEEE, Taipei 2009.   Download
54. * Zbyněk Koldovský, Petr Tichavský: A Comparison of Independent Component and Independent Subspace Analysis Algorithms. 17th European Signal Processing Conference (EUSIPCO 2009), 1447-1451. University of Strathclyde, Glasgow, Glasgow 2009.   Download
55. * Tomáš Marek, Petr Tichavský: On the Estimation of Mutual Information. ROBUST 2008, 263-269. JČMF, Praha 2009.   Download
56. * Petr Tichavský, A. Yeredor, Jan Nielsen: A Fast Approximate Joint Diagonalization Algorithm Using a Criterion with a Block Diagonal Weight Matrix. ICASSP 2008: IEEE International Conference on Acoustics, Speech, and Signal Processing, 3321-3324. Conference Management Services, Bryan 2008.
57. * Zbyněk Koldovský, Petr Tichavský: Time-domain Blind Audio Source Separation Using Advanced Component Clustering and Reconstruction. 2008 Hands-free Speech Communication and Microphone Arrays, 216-219. IEEE, Trento 2008.
58. * Zbyněk Koldovský, J. Málek, Petr Tichavský, Y. Deville, S. Hosseini: Extension of EFICA Algorithm for Blind Separation of Piecewise Stationary Non-Gaussian Sources. ICASSP 2008: IEEE International Conference on Acoustics, Speech, and Signal Processing, 1913-1916. Conference Management Services, Bryan 2008.
59. * V. Krajča, S. Petránek, J. Mohylová, Jan Nielsen, Petr Tichavský, L. Lhotská, M. Burnovský: Ddentification of neonatal EEG sleep stages by structural time profiles and independent component analysis. Proc. of the 3rd WACBE World Congress on Bioengineering 2007, 1-4. Biomedical Engineering Society, Singapore, Singapore 2007.
60. * Z. Koldovský, Petr Tichavský: Time-Domain Blind Audio Source Separation using Advanced ICA Methods. Proccedings of the 8th Annual Conference of the International Speech Communication Association. Interspeech 2007, 1-4. University Bonn, Bonn 2007.
61. * G. Gómez-Herrero, Zbyněk Koldovský, Petr Tichavský, K. Egiazarian: A fast algorithm for blind separation of non-Gaussian and time-correlated signals. Proccedings of the 15th European Signal Processing Conference. EUSIPCO 2007, 1731-1735. PTETiS, Poznan 2007.
62. * Zbyněk Koldovský, Petr Tichavský: Methods of Fair Comparsion of Performance of Linear ICA Techniques in Presence of Additive Noise. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 873-876. IEEE, Bryan 2006.
63. * Petr Tichavský, Jan Nielsen, V. Krajča: Identification of epileptic activity in electroencephalograms using four techniques of independent component analysis. Analysis of Biomedical Signals and Images. BIOSIGNAL 2006, 166-168. University of Technology, Brno 2006.
64. * Petr Tichavský, Zbyněk Koldovský, E. Doron, A. Yeredor, G. G. Herrero: Blind signal separation by combining two ICA algorithms: HOS-based EFICA and time structure-based WASOBI. Proceedings of 14th European Signal Processing Conference. EUSIPCO 2006, 1-5. EURASIP, Florence 2006.
65. * Petr Tichavský, E. Doron, A. Yeredor, Jan Nielsen: A Computationally Affordable Implementation of An Asymptotically Optimal BSS Algorithm for AR Sources. Proceedings of 14th European Signal Processing Conference. EUSIPCO 2006, 1-5. EURASIP, Florence 2006.
66. * Zbyněk Koldovský, Petr Tichavský, O. Erkki: Cramer-Rao lower bound for linear independent component analysis. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 581-584. IEEE, Philadelphia 2005.
67. * Zbyněk Koldovský, Petr Tichavský: Eficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound. Proceedings of IEEE/SP 13th Workshop on Statistical Signal Processing, 7-12. Telecom Paris, Paris 2005.
68. * Petr Tichavský, Zbyněk Koldovský, E. Oja: Asymptotic performance of the FastICA algorithm for independent component analysis and its iprovements. Proceedings of the IEEE/SP 13th workshop on Statistical Signal Processing, 1-6. Telecom Paris, Paris 2005.
69. * Petr Tichavský, K. T. Wong: Finite-data-record performance/breakdown analysis of the "Blind" space-time DS-CDMA rake-receiver of Wong-Lok-Lehnert-Zoltowski. Proceedings of the 2003 IEEE International Conference on Communications, 1-5. IEEE, Piscataway 2003.
70. * K. T. Wong, Petr Tichavský: A reduced-complexity "blind" space-frequency algorithm for peer-to-peer MFSK-FFH-CDMA detection & co-channel interference suppression. IEEE Global Telecommunications Conference, 1-5. IEEE Communications Society, San Francisco 2003.
71. * Petr Tichavský, K. T. Wong: New fluid-mechanics-based statistical models of a nominally linear towed-array's shape deformation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2841-2844. IEEE, Orlando 2002.
72. * G. A. Darbellay, Petr Tichavský: Independent component analysis through direct estimation of the mutual information. Independent Component Analysis and Blind Signal Separation. Proceedings, 69-74. IEEE Signal Processing Society, Helsinki 2000.
73. * Petr Tichavský, P. Händel: Estimation and smoothing of instantaneous frequency of noisy narrow band signals. Signal Processing. Proceedings, 1803-1806. TTKK, Tampere 2000.
74. * Petr Tichavský: Measuring performances of nonlinear filtering techniques. Proceedings of the 3rd Japan-Central Europe Joint Workshop on Modelling and Simulation of Non-linear Engineering Systems and Related Phenomena, 327-330. Comenius University, Bratislava 1999.
75. * A. Nehorai, Petr Tichavský: Cross-product algorithms for source tracking using an EM vector sensor. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2781-2784. IEEE, Phoenix 1999.
76. * M. Šimandl, J. Královec, Petr Tichavský: Predictive and filtering lower bounds for nonlinear filters. IFAC World Congress 1999. Proceedings, 43-48. Pergamon, Oxford 1999.
77. * Petr Tichavský, P. Händel: Estimating parameters of polynomial phase signals by tracking algorithms. Proceedings of the 9th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, 348-351. IEEE, Piscataway 1998.
78. * Petr Tichavský, C. Muravchik, A. Nehorai: Posterior C-R bounds for performance of adaptive parameter estimation. Proceedings of the First European Conference on Signal Analysis and Prediction, 153-156. ICT Press, Prague 1997.
79. * Petr Tichavský, P. Händel: Recursive estimation of linearly or harmonically modulated frequencies of multiple cisoids in noise. International Conference on Acoustics, Speech, and Signal Processing, 1925-1928. ICASSP Committee, München 1997.
80. * P. Händel, Petr Tichavský, S. M. Savaresi: Performance analysis of a constrained high order adaptive notch filter. Proceedings of the 1997 Finnish Signal Processing Symposium, 21-24. TTKK, Pori 1997.
81. * P. Händel, Petr Tichavský: Frequency rate estimation based on fourth order sample moments. IEEE Signal Processing Workshop on Statistical Signal and Array Processing. Proceedings, 391-394. IEEE, Los Alamitos 1996.
82. * P. Händel, Petr Tichavský: Matching of fourth order sample moments for frequency rate estimation. NORSIG '96. Proceedings, 311-314. TKK OFFSET, Espoo 1996.
83. * M. Padmanabhan, Petr Tichavský: Extension of a hyperstable adaptive line enhancer for tracking of multiple cisoids. Signal Processing VIII: Theories and Applications, 1271-1274. EA Signal Processing, Trieste 1996.
84. * A. Swami, Petr Tichavský: The n-th order moment (cumulant) of multiple sinusoids: strong ergodicity and related issues. Proceedings of the IEEE Signal Processing - Athos Workshop on High-Order Statistics, 337-342. IEEE, Girona 1995.
85. * Petr Tichavský, P. Händel: Performance analysis of two algorithms for tracking of multiple noisy cisoids. Signal Processing, 1720-1723. European Association for Signal Processing, Edinburgh 1994.
86. * Petr Tichavský, P. Händel: Efficient Tracking of Multiple Sinusoids with Slowly Varying Parameters. IEEE Internatinal Conference on Acoustics, Speech and Signal Processing, 368-371. IEEE, New York 1993.
87. * Petr Tichavský: Odhad skrytých periodicit metodami autoregresního modelování. Sborník prací zimní školy JČSMF ROBUST 90, 152-154. JČMF, Praha 1990.

Other publications (42)
2. * Petr Tichavský: Detekce slabých signálů v šumu. Research Report 2372. UTIA AVČR, Praha 2018.
3. * Petr Tichavský: Sledování creepových změn na tepelně a mechanicky namáhaném vzorku oceli pomocí akustické emise. Research Report 2365. UTIA AV ČR, Praha 2017.   Download
6. * Petr Tichavský, T. Slunéčko, M. Svobodová, T. Chmela: Odhad rychlosti šíření akustických vln ve vzorku oceli pro sledování creepových změn pomocí akustické emise. Research Report 2369. ÚTIA AV ČR, Praha 2017.   Download
7. * Ondřej Šembera, Petr Tichavský, Zbyněk Koldovský: Adaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources. Research Report 2360. ÚTIA AV ČR v.v.i, Praha 2016.   Download
8. * R. Zika, Michal Žurovec, Petr Tichavský: Vědecká spolupráce s japonskými ústavy. Akademický Bulletin . Středisko společných činností AV ČR, v. v. i, Praha 2014.
9. * J. Hoskovec, Petr Tichavský: Experimental Comparison of Sparse Signal Recovery Algorithms. Research Report 2306. ÚTIA AVČR, Praha 2011.   Download
10. * Miroslav Zima, Petr Tichavský, V. Krajča: Automatic Removal of Sparse Artifacts in Electroencephalogram. Research Report  2289. ÚTIA AV ČR, Praha 2010.   Download
11. * Miroslav Zima, Petr Tichavský, V. Krajča: Odstraňování artefaktů v EEG datech III. Research Report 2259. ÚTIA AV ČR, Praha 2009.   Download
12. * Zbyněk Koldovský, J. Málek, Petr Tichavský, D. Yannick, H. Shahram: Performance Analysis of Extended EFICA Algorithm. Research Report 2199. ÚTIA AV ČR, Praha 2007.   Download
13. * Zbyněk Koldovský, Petr Tichavský: Asymptotic Analysis of Bias of FastICA-based Algorithms in Presence of Additive Noise. Research Report 2181. ÚTIA AV ČR, Praha 2007.
14. * E. Doron, A. Yeredor, Petr Tichavský: Cramér-Rao Lower Bound for Blind Separation of Stationary Parametric Gaussian Sources. Interní publikace - DAR - ÚTIA 2006/11. ÚTIA AV ČR, Praha 2006.
15. * Petr Tichavský, Zbyněk Koldovský, E. Doron, A. Yeredor, G. G. Herrero: Blind Signal Separation by Combining Two ICA Algorythms: HOS-based EFICA and Time Structure-Based WASOBI. Interní publikace - DAR - ÚTIA 2006/2. ÚTIA AV ČR, Praha 2006.
16. * Petr Tichavský, Jan Nielsen, A. Yeredor, E. Doron: Fast Implementation of Asymtotically Optimized SOBI (WASOBI) Algorithm for Blind Separation of 100+ AR Sources. Interní publikace - DAR - ÚTIA 2006/23. ÚTIA AV ČR, Praha 2006.
17. * Zbyněk Koldovský, Petr Tichavský: Asymtotic Analysis of Bias of FastICA-based Algorithms in Presence of Additive Noise. Interní publikace - DAR - ÚTIA 2006/24.. ÚTIA AV ČR, Praha 2006.
18. * Jan Nielsen, Petr Tichavský, Zbyněk Koldovský: Odstraňování artefaktů v EEG datech II. Research Report 2176. ÚTIA AV ČR, Praha 2006.
19. * Petr Tichavský, Zbyněk Koldovský, E. Oja: Asymptotic Performance of the FastICA Algorithm for Independent Component Analysis and its Iprovements. ÚTIA AV ČR, Praha 2005.
20. * Petr Tichavský, E. Doron, A. Yeredor, Jan Nielsen: Computationally Feasible Implementation of Asymptotically Optimal Blind Separation Algorithm SOBI (WASOBI) for AR Source. Interní publikace - DAR - ÚTIA 2005/29. ÚTIA AV ČR, Praha 2005.
21. * Zbyněk Koldovský, Petr Tichavský: Methods of Fair Comparsion of Performance of Linear ICA Techniques in Presence of Additive Noise. Interní publikace - DAR - ÚTIA 2005/28. ÚTIA AV ČR, Praha 2005.
23. * Petr Tichavský, Jan Nielsen, Zbyněk Koldovský: Odstraňování artefaktů v EEG datech. Research Report 2140. ÚTIA AV ČR, Praha 2005.
24. * Zbyněk Koldovský, Petr Tichavský, E. Oja: Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the Cramér-Rao Lower Bound. ÚTIA AV ČR, Praha 2005.
25. * Petr Tichavský, Zbyněk Koldovský, E. Oja: Performance Analysis of the FastICA Algorithm and Cramé-Rao Bounds for Linear Independent Component Analysis. ÚTIA AV ČR, Praha 2005.
26. * Zbyněk Koldovský, Petr Tichavský: Cramér-Rao Lower Bound for Independent Component Analysis. Research Report 2123. ÚTIA AV ČR, Praha 2004.
27. * Petr Tichavský: Few General Remarks to Asymptotic Analyses. Research Report 1948. ÚTIA AV ČR, Praha 1999.
28. * Petr Tichavský, P. Händel: Multicomponent Polynomial Phase Signal Analysis Using a Tracking Algorithm. Royal Institute of Technology, Stockholm 1998.
29. * Petr Tichavský, A. Nehorai: Comparative Study of Four Adaptive Frequency Trackers - Revised. Research Report 1865. ÚTIA AV ČR, Praha 1996.
30. * Petr Tichavský, A. Nehorai: Comparative Study of Four Adaptive Frequency Trackers. Research Report 1845. ÚTIA AV ČR, Praha 1995.
31. * Petr Tichavský, A. Swami: Statistical Characterization of Sample Fourth-Order Cumulants of a Noisy Complex Sinusoidal Process. Research Report 1801. ÚTIA AV ČR, Praha 1994.
32. * Petr Tichavský, P. Händel: Two Algorithms for Adaptive Retrieval of Slowly Time-Varying Multiple Cisoids in Noise. Research Report 1803. ÚTIA AV ČR, Praha 1994.
33. * Petr Tichavský: Aposteriori Cramer-Rao Bounds for Adaptive Harmonic Retrieval. Research Report 1805. ÚTIA AV ČR, Praha 1994.
34. * Petr Tichavský: Large Sample Asymptotics for Signal-Subspace Methods in Sinusoidal Frequency Estimation. Research Report 1766. ÚTIA AV ČR, Praha 1993.
35. * P. Händel, Petr Tichavský: Adaptive Filtering for Periodic Signal Enhancement and Tracking. Research Report 93025R. Uppsala University, Uppsala 1993.
36. * Petr Tichavský, P. Händel: Two Algorithms for Adaptive Retrieval of Slowly Time-Varying Multiple Cisoids in Noise. Research Report 93031R. Uppsala University, Uppsala 1993.
37. * Petr Tichavský: On Consistency of Cumulant-Based Methods in the Harmonic Retrieval. Research Report 1768. ÚTIA AV ČR, Praha 1993.
38. * Petr Tichavský, P. Händel: Efficient Tracking of Multiple Sinusoids with Slowly Varying Parameters. Research Report 92110R. Uppsala University, Uppsala 1992.
40. * Petr Tichavský: Odhad skrytých periodicit. ÚTIA ČSAV, Praha 1989.
42. * Hana Havlová, Petr Tichavský, Miloslav Vošvrda, Jan Zindulka: Odhad spektrálních charakteristik a tvorba modelů nestacionárních signálů. ÚTIA ČSAV, Praha 1989.

Miscellaneous (2)