Institute of Information Theory and Automation

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Department: AS Duration: 2010 - 2011 Grantor:
Many engineering systems can be characterised as complex since they have a nonlinear behaviour incorporating a stochastic uncertainty. Urban traffic systems or traffic pollution propagation models are typical representatives of such complex systems. One of the most appropriate methods for modelling such systems is based on the application of Gaussian processes.
Department: SI Duration: 2009 - 2011 Grantor: GACR
The aim of the project is to develop several aspects of the theory of Gibbs states and phase transitions of lattice models. Gradient lattice models, where the challenge is to understand the case of non-convex potentials, will be studied by means of multiscale analysis and a refinement of cluster expansions.
Department: AS Duration: 2009 Grantor:
Department: SI Duration: 2009 - 2013 Grantor: GACR
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, and in wireless communications. It will extend previous results of the appplicants in this area.
Department: SI Duration: 2009 - 2011 Grantor:
Recurrence is one of the key concepts in topological dynamics, ergodic and information theories. Especially, limit distributions of return times in dynamical systems and stationary processes have been intensively studied. This field covers fundamental mathematical theorems as well as important apllications, e.g.
Department: E Duration: 2009 - 2013 Grantor: GACR
The proposed research is aimed to contribute to understanding the factors influencing prices on financial markets.
Department: E Duration: 2009 - 2011 Grantor: GACR
The project is aimed at nonlinear dynamics application to monetary and financial economics. The area aof monetary research will be aimed at classical macro monetary nonlinear models, where the potentials of complex dynamics (chaos) will be investigated. Analysis of the model of real business cycles and models of dynamic equilibrium will be also addressed by the project.