- Research Grants
He received the B.S., M.S., and Ph.D. degrees in electrical engineering from the State University of Campinas (Unicamp), Campinas, Brazil, in 2001, 2003 and 2007, respectively. Currently he is an Associate Professor at the Universidade Federal do ABC (UFABC), Sao Paulo, Brazil. His research interests include unsupervised signal processing, adaptive filtering, dynamical systems and computational intelligence. (Source: Lattes Curriculum)
The problem of Blind Source separation, introduced by Hérault and Jutten as a non-supervised learning strategy for neural networks, has attracted attention since the beginning of the 90's, and can be considered a mature research topic in the modern theory of signal processing.The great interest on blind source separation is due to the fact that several distinct applications can benefit ...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|
(References retrieved automatically from State of São Paulo Research Institutions)
SUYAMA, Ricardo. Proposta de metodos de separação cega de fontes para misturas convolutivas e não-lineares. 2007. Tese (Doutorado) – Faculdade de Engenharia Elétrica e de Computação. Universidade Estadual de Campinas (UNICAMP).