An efficient, closed-form MAP estimator for Nakagami-m Fading parameter (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1109/LCOMM.2016.2603530
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Keywords: Nakagami-m fading parameter; maximum a posteriori estimator; closed-form m estimator; almost unbiased estimator
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ
- Date published: 2016
- Source:
- Título: IEEE Communications Letters
- ISSN: 1089-7798
- Volume/Número/Paginação/Ano: v. 20, n. 11, p. 2328-2331, Nov. 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RAMOS, Pedro Luiz e LOUZADA, Francisco e RAMOS, Eduardo. An efficient, closed-form MAP estimator for Nakagami-m Fading parameter. IEEE Communications Letters, v. No 2016, n. 11, p. 2328-2331, 2016Tradução . . Disponível em: https://doi.org/10.1109/LCOMM.2016.2603530. Acesso em: 14 out. 2024. -
APA
Ramos, P. L., Louzada, F., & Ramos, E. (2016). An efficient, closed-form MAP estimator for Nakagami-m Fading parameter. IEEE Communications Letters, No 2016( 11), 2328-2331. doi:10.1109/LCOMM.2016.2603530 -
NLM
Ramos PL, Louzada F, Ramos E. An efficient, closed-form MAP estimator for Nakagami-m Fading parameter [Internet]. IEEE Communications Letters. 2016 ; No 2016( 11): 2328-2331.[citado 2024 out. 14 ] Available from: https://doi.org/10.1109/LCOMM.2016.2603530 -
Vancouver
Ramos PL, Louzada F, Ramos E. An efficient, closed-form MAP estimator for Nakagami-m Fading parameter [Internet]. IEEE Communications Letters. 2016 ; No 2016( 11): 2328-2331.[citado 2024 out. 14 ] Available from: https://doi.org/10.1109/LCOMM.2016.2603530 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1109/LCOMM.2016.2603530 (Fonte: oaDOI API)
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