Portal de Periódicos da CAPES

Artigo Produção Nacional Revisado por pares

BIBTEX RIS

The modified MEXICO for ICA over finite fields

2013; Elsevier BV; Volume: 93; Issue: 9 Linguagem: Inglês

10.1016/j.sigpro.2013.03.021

1872-7557

Daniel G. Silva, Everton Z. Nadalin, Jugurta Montalvão, Romis Attux,

Neural Networks and Applications

In 2007, a theory of ICA over finite fields emerged and an algorithm based on pairwise comparison of mixtures, called MEXICO, was developed to deal with this new problem. In this letter, we propose improvements in the method that, according to simulations in GF(2) and GF(3) scenarios, lead to a faster convergence and better separation results, increasing the application possibilities of the new theory in the context of large databases.