| Autor(es): |
Nascimento, Vitor H.
;
Sayed, Ali H.
;
IEEE
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2012 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP); v. N/A, p. 4-pg., 2012-01-01. |
| Resumo | |
Discrete-time mobile adaptive networks have been successfully used to model self-organization in biological networks. We recently introduced a continuous-time adaptive diffusion strategy with the goal of better modeling physical phenomena governed by continuous-time dynamics. In the present paper we extend our previous work, proposing a new continuous-time diffusion estimation strategy that allows asymmetric mixing matrices. We prove that the new algorithm is stable and has better convergence properties than stand-alone learning for the case of doubly-stochastic mixing matrices. (AU) | |
| Processo FAPESP: | 11/06994-2 - Algoritmos de baixo custo computacional para processamento de sinais acústicos |
| Beneficiário: | Vitor Heloiz Nascimento |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |