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• W1966862482 abstract "A novel Bayesian modulation classification scheme is proposed for a single-antenna system over frequency-selective fading channels. The method is based on Gibbs sampling as applied to a latent Dirichlet Bayesian network (BN). The use of the proposed latent Dirichlet BN provides a systematic solution to the convergence problem encountered by the conventional Gibbs sampling approach for modulation classification. The method generalizes, and is shown to improve upon, the state of the art." @default.
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• W1966862482 date "2014-09-01" @default.
• W1966862482 modified "2023-09-24" @default.
• W1966862482 title "Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network" @default.
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• W1966862482 doi "https://doi.org/10.1109/lsp.2014.2327193" @default.
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