Source: Signal Processing. Unidade: IME
Subjects: ANÁLISE DE ONDALETAS, ANÁLISE DE SÉRIES TEMPORAIS
ABNT
PINTO, Mateus Gonzalez de Freitas e CHIANN, Chang. A maximum-likelihood-based approach to estimate the long memory parameter using fractional spline wavelets. Signal Processing, v. 222, n. artigo 109518, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.sigpro.2024.109518. Acesso em: 05 nov. 2024.APA
Pinto, M. G. de F., & Chiann, C. (2024). A maximum-likelihood-based approach to estimate the long memory parameter using fractional spline wavelets. Signal Processing, 222( artigo 109518), 1-11. doi:10.1016/j.sigpro.2024.109518NLM
Pinto MG de F, Chiann C. A maximum-likelihood-based approach to estimate the long memory parameter using fractional spline wavelets [Internet]. Signal Processing. 2024 ; 222( artigo 109518): 1-11.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.sigpro.2024.109518Vancouver
Pinto MG de F, Chiann C. A maximum-likelihood-based approach to estimate the long memory parameter using fractional spline wavelets [Internet]. Signal Processing. 2024 ; 222( artigo 109518): 1-11.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.sigpro.2024.109518