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• W3216373669 abstract "The paper focuses on the tuning of Auto Regressive Moving Average (ARMA) models aimed at describing the spectral behaviour of sea wave elevation time series. The analysis considers mono-modal sea states, mainly due to the wind effect. The main problem related to the estimation of such models, starting from the wave elevation time series, concerns the tuning of the parameters involved in the identification algorithms. Indeed, the value of some parameters must be chosen by the user and these choices strongly affect the goodness of the estimates. Here, some of these parameters are considered, highlighting their effect on the goodness of the fit, and indications about how to set their values for applications related to mono-modal sea states are presented. The results are fully discussed considering a reference case study and a procedure to tune the model is proposed." @default.
• W3216373669 created "2021-12-06" @default.
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• W3216373669 creator A5057523445 @default.
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• W3216373669 date "2021-10-04" @default.
• W3216373669 modified "2023-09-23" @default.
• W3216373669 title "Tuning of ARMA models for mono-modal sea spectrum estimation" @default.
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• W3216373669 doi "https://doi.org/10.1109/metrosea52177.2021.9611603" @default.
• W3216373669 hasPublicationYear "2021" @default.
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