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Universidade Federal do ABC (UFABC). Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas (CECS) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Aline Neves Panazio received the B.S. and M.S. degree in Electrical Engineering from the State University of Campinas (UNICAMP), Brazil, in 1999 and 2001 respectively. She received her Ph.D. degree in 2005, also in Electrical Engineering, from the University René Descartes (Paris V), Paris, France. She is a full professor at the Engineering, Modeling and Applied Social Science Center of the Federal University of ABC, Santo André, Brasil. Her research interests consists of adaptive filtering, source separation, joint source separation, information theoretic learning and eletroencephalogram signal processing. (Source: Lattes Curriculum)
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Information theoretic learning(ITL) aims at using common concepts from information theory as entropy and mutual information in the context of adaptive filtering, resulting in new criteria that exploits the statistical information of signals in a more complete manner. Since such criteria exploits the probability density functions and the temporal structure of the signals involved in the fi…
In the signal processing area, the Blind Source Separation (BSS) problem occupies a prominent position in view of its versatility and its wide range of practical applications. In light of the increasing complexity and the significant growth in the amount of data, the BSS problem in the context of nonlinear mixtures and of multiple datasets form current and challenging research topics. In …
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