Institute of Information Theory and Automation

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Projects

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: 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.
Department: MTR Duration: 2009 - 2011 Grantor: GACR
Department: AS Duration: 2009 - 2012 Grantor: MSMT
The project aims to develop a novel on-line estimator of the key process variable in rolling mills by mixing multiple models with different sensitivities to inaccuracy in process data. The approach relies on the systematic treatment of uncertainty and merging of all available information.
Department: ZS Duration: 2009 - 2011 Grantor: FG
Project SCALOPES is partially supported by ARTEMIS Joint Undertaking (project number 100029) and by Ministry of Education, Youth and Sports of the Czech rep. (project number 7H09005). The project will focus on cross-domain technology and tool developments for multi-core archictures.
Department: AS Duration: 2009 - 2013 Grantor:
This long-term applied project covers various research and development activities according to specification of the industrial partner.
Department: ZOI Duration: 2009 - 2010 Grantor:
The project proposal belongs to the area of digital image processing and deals with sophisticated methods for image enhancement/restoration.
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.

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