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- W3216994003 abstract "In this paper, we study a problem of estimating parameters of sinusoids from noisy data within Bayesian inferential framework. In this context, three different computational schemes such as, Bretthorst’s integral method (BRETTHORST), Gibbs sampling (GIBBS) and parallel tempering (PT) are studied and modifications of their algorithms were tested on data generated from synthetic signals. In addition, our emphasis is given to a comparison of their performances with respect to Cramér-Rao lower bound (CRLB)." @default.
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- W3216994003 date "2021-11-25" @default.
- W3216994003 modified "2023-10-08" @default.
- W3216994003 title "Comparison of Bayesian Methods for Recovering Sinusoids" @default.
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- W3216994003 doi "https://doi.org/10.46300/91013.2021.15.7" @default.
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