Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals (2016)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.sigpro.2015.07.003
- Subjects: SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE
- Language: Inglês
- Imprenta:
- Source:
- Título: Signal Processing
- ISSN: 0165-1684
- Volume/Número/Paginação/Ano: v. 118, p. 159-176, Jan. 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RIOS, Ricardo Araújo e MELLO, Rodrigo Fernandes de. Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Processing, v. 118, n. Ja 2016, p. 159-176, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.sigpro.2015.07.003. Acesso em: 11 out. 2024. -
APA
Rios, R. A., & Mello, R. F. de. (2016). Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Processing, 118( Ja 2016), 159-176. doi:10.1016/j.sigpro.2015.07.003 -
NLM
Rios RA, Mello RF de. Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals [Internet]. Signal Processing. 2016 ; 118( Ja 2016): 159-176.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.sigpro.2015.07.003 -
Vancouver
Rios RA, Mello RF de. Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals [Internet]. Signal Processing. 2016 ; 118( Ja 2016): 159-176.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.sigpro.2015.07.003 - Caracterização de comportamento de sistemas por meio de agrupamento de dados e detecção de novidades
- Genetic algorithms applied to organize wirelless sensor networks aiming good coverage and redundancy
- Supporting the transparent execution of high performance applications on grids
- An online data access prediction and optimization approach for distributed systems
- Model for simulation of heterogeneous high-performance computing environments
- High performance computing on grids
- Toward an efficient middleware for multithreaded applications in computational grid
- On simulated annealing for the scheduling of parallel applications
- A systematic literature review on decomposition approaches to estimate time series components
- Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization
Informações sobre o DOI: 10.1016/j.sigpro.2015.07.003 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas