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Ing. Petr Tichavský, DSc.

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A wide range of essential economic questions require solving high-dimensional dynamic programming problems. These problems suffer from the “curse of dimensionality”, which means that the…
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The project deals with the development of active fault diagnosis (AFD) algorithms for stochastic discrete-time large-scale systems. To achieve the feasibility of the algorithms, tensor decompositions…
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The word “TENSOR” in this project is understood as a multidimensional linear array of a rectangular shape, whose entries are either real or complex numbers. Such data structures are encountered, e.g…
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The proposed project aims at development of existing methods of blind source separation and blind separation of convolutive mixtures that are important in biomedicine, acoustics and speech processing…