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V. Kautský

  1. Koldovský Z., Kautský V., Tichavský Petr :  Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures - Algorithms , IEEE Transactions on Signal Processing vol.70, 1 (2022), p. 5102-5116 [2022] Download Download DOI: 10.1109/TSP.2022.3216106
  2. Koldovský Z., Kautský V., Tichavský Petr, Čmejla J., Málek J. :  Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers , IEEE Transactions on Signal Processing vol.69, 1 (2021), p. 2158-2173 [2021] Download Download DOI: 10.1109/TSP.2021.3068626
  3. Kautský V., Koldovský Z., Tichavský Petr, Zarzoso V. :  Cramér-Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models , IEEE Transactions on Signal Processing vol.68, 10 (2020), p. 5230-5243 [2020] Download Download DOI: 10.1109/TSP.2020.3022827
  4. Kautský V., Tichavský Petr, Koldovský Z., Adali T. :  Performance Bounds for Complex-Valued Independent Vector Analysis , IEEE Transactions on Signal Processing vol.68, 1 (2020), p. 4258-4267 [2020] Download Download DOI: 10.1109/TSP.2020.3009507

  1. Kautský V., Koldovský Z., Tichavský Petr :  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 , p. 94-97, CAMSAP 2017 - 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, (Curacao, NL, 20171210) [2017] Download DOI: 10.1109/CAMSAP.2017.8313097
  2. Koldovský Z., Tichavský Petr, Kautský V. :  Orthogonally constrained independent component extraction: Blind MPDR beamforming , Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), p. 1195-1199, EUSIPCO 2017 - 25th European Signal Processing Conference, (Kos, GR, 20170828) [2017] Download DOI: 10.23919/EUSIPCO.2017.8081389
2019-01-07 08:39
Institute of Information Theory and Automation