Blind Source Separation consists of recovering original signals from their mixtures when the mixing process is unknown. In biomedicine, namely in MEG and EEG signal processing, one of the most popular algorithms nowadays is SOBI (Second Order Blind Identification). We proposed a procedure for fast implementation of the Weights-Adjusted SOBI (WASOBI) algorithm for asymptotically optimal separation of Gaussian autoregressive (AR) sources. The procedure employs fast computation of the
Our group focuses on the research, development and implementation of advanced digital signal processing algorithms, mainly in the fields of adaptive control and audio processing. We build on our experience with statistics, namely with the Bayesian approach to system identification and modeling, as well as with the relevant fields of linear algebra.
real and monetary macrodynamics, stochastic economics, econometrics, and econometrical modelling,
Akademická rada Akademie věd ČR, na základě návrhu poroty pro udělování Prémií Otto Wichterleho mladým vědeckým pracovníkům v AV ČR, udělila Prémii Otto Wichterleho v roce 2006
RNDr. Barbaře Zitové, Ph.D.
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Akademická rada Akademie věd ČR, na základě návrhu poroty pro udělování Prémií Otto Wichterleho mladým vědeckým pracovníkům v AV ČR, udělila Prémii Otto Wichterleho v roce 2003
RNDr. Martinovi Kružíkovi, Ph.D.
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The president of the Academy of Sciences of the Czech Republic, Prof. H. Illnerova, has presented the Bernard Bolzano 2003 Medal to Prof. Rudolf Hanka for contributions in the mathematical sciences.
The Bernard Bolzano Honorary? Medal for Merits in the Mathematical Sciences is awarded by the Academy of Sciences of the Czech Republic to distinguished scientists who have considerably contributed to the development of the whole field and who have fruitfully collaborated with researchers in the Czech Republic.