Browsing by Author "Tichavský Petr"
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- ItemAdaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources(Springer Verlag, 2017) Šembera Ondřej; Tichavský Petr; Koldovský Zbyněk
- ItemBlind separation of mixtures of piecewise AR(1) processes and model mismatch(Springer Verlag, 2015) Šembera O.; Tichavský Petr
- ItemBlind Separation of Underdetermined Linear Mixtures Based on Source Nonstationarity and AR(1) Modeling(Institute of Electrical and Electronics Engineers Inc., 2016) Šembera Ondřej; Tichavský Petr; Koldovský Zbyněk
- ItemCramér-Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models(IEEE, 2020) Kautský Václav; Koldovský Zbyněk; Tichavský Petr; Zarzoso Vicente
- ItemCramér-Rao-Induced Bound for Interference-to-Signal Ratio Achievable Through Non-Gaussian Independent Component Extraction(2017) Kaucký Václav; Koldovský Zbyněk; Tichavský Petr
- ItemDynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers(IEEE, 2021) Koldovský Zbyněk; Kautský Václav; Tichavský Petr; Čmejla Jaroslav; Málek Jiří
- ItemFrequency-Domain Blind Speech Separation Using Incomplete De-Mixing Transform(European Signal Processing Conference, EUSIPCO, 2016) Koldovský Zbyněk; Nesta F.; Tichavský Petr; Ono Nobutaka
- ItemGradient Algorithms for Complex Non-Gaussian Independent Component/Vector Extraction, Question of Convergence(IEEE, 2019) Koldovský Zbyněk; Tichavský Petr
- ItemImproving relative transfer function estimates using second-order cone programming(Springer Verlag, 2015) Koldovský Zbyněk; Málek Jiří; Tichavský Petr
- ItemNoise reduction and speech enhancement method in a mobile phone with two or more microphones(2014) Koldovský Zbyněk; Tichavský Petr
- ItemOrthogonally Constrained Independent Component Extraction: A Blind Minimum Power Distortionless Beamformer(Institute of Electrical and Electronics Engineers Inc., 2017) Koldovský Zbyněk; Tichavský Petr; Kaucký VáclavWe propose a novel technique for the extraction of one independent component from an instantaneous linear complex-valued mixture of signals. The mixing model is optimized in terms of the number of parameters that are necessary to simultaneously estimate one column of the mixing matrix and one row of the de-mixing matrix, which both correspond to the desired source. The desired source is assumed to have a non-Gaussian distribution, while the other sources are modeled, for simplicity, as Gaussian-distributed, although in applications the other sources can be arbitrary. We propose an algorithm that can be interpreted as a blind self-steering Minimum-Power Distortionless Response (MPDR) beamformer. The method is compared with the popular Natural Gradient algorithm for general Independent Component Analysis. Their performances are comparable but the proposed method has a lower computational complexity; in examples, it is about four times faster.
- ItemOrthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background without ICA(2018) Koldovský Zbyněk; Tichavský Petr; Ono Nobutaka
- ItemPerformance Bound for Blind Extraction of Non-Gaussian Complex-Valued Vector Component from Gaussian Background(IEEE, 2019) Kautský Václav; Koldovský Zbyněk; Tichavský Petr
- ItemPerformance Bounds for Complex-Valued Independent Vector Analysis(IEEE, 2020) Kautský Václav; Tichavský Petr; Koldovský Zbyněk; Adali Tulai
- ItemSparse Reconstruction of Incomplete Relative Transfer Function: Discrete and Continuous Time Domain(IEEE, 2015) Koldovský Zbyněk; Tichavský Petr