Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data (2018)
- Authors:
- USP affiliated authors: STERN, JULIO MICHAEL - IME ; PADOVESE, LINILSON RODRIGUES - EP ; HUBERT JUNIOR, PAULO DO CANTO - IME
- Unidades: IME; EP
- DOI: 10.1007/978-3-319-91143-4_19
- Subjects: INFERÊNCIA BAYESIANA; ACÚSTICA; PROCESSAMENTO DE SINAIS ACÚSTICOS
- Language: Inglês
- Imprenta:
- Source:
- Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
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ABNT
HUBERT JUNIOR, Paulo do Canto e STERN, Julio Michael e PADOVESE, Linilson Rodrigues. Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_19. Acesso em: 18 nov. 2024. -
APA
Hubert Junior, P. do C., Stern, J. M., & Padovese, L. R. (2018). Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_19 -
NLM
Hubert Junior P do C, Stern JM, Padovese LR. Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_19 -
Vancouver
Hubert Junior P do C, Stern JM, Padovese LR. Full bayesian approach for signal detection with an application to boat detection on underwater soundscape data [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_19 - A sequential algorithm for signal segmentation
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Informações sobre o DOI: 10.1007/978-3-319-91143-4_19 (Fonte: oaDOI API)
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