| Texto completo | |
| Autor(es): |
Nascimento, Vitor H.
;
Sayed, Ali H.
;
Matthews, MB
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR); v. N/A, p. 5-pg., 2011-01-01. |
| Resumo | |
Adaptive diffusion models endow networks with distributed learning and cognitive abilities. These models have been applied recently to emulate various forms of complex and selforganized patterns of behavior encountered in biological networks. In diffusion adaptation, nodes share information with their neighbors in real-time, and the network evolves towards a common objective through decentralized coordination and in-network processing. Current models are based on discretetime adaptive diffusion strategies. However, physical phenomena usually are governed by continuous-time dynamics. In this paper, we derive continuous-time diffusion adaptive algorithms, which can help provide more accurate models for exchanges of information, and also for systems with large variations in their time constants. (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 |