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Simultaneous recording of electrophysiology and functional magnetic resonance imaging (fMRI) is a technique of growing importance in neuroscience. Rapidly evolving clinical and scientific requirements have created a need for hardware and software that can be customized for specific applications. Hardware may require customization to enable a variety of(More)
We investigated the transport Barkhausen-like noise (TBN) by using nonlinear time series analysis. TBN signals were measured in (Bi,Pb)2Sr2Ca2Cu3O10+δ ceramic samples subjected to different uniaxial compacting pressures (UCP). These samples display similar intragranular properties but different intergranular features. We found positive Lyapunov exponents in(More)
In this paper is studied a methodology of fuzzy modeling already developed. The methodology is applied in a MIMO system of flow, level and temperature. Starting from input and output data is possible find a Takagi-Sugeno model using the algorithm fuzzy clustering Gustafson-Kessel, through of the optimal partition of the available data set in subsets with(More)
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