Nielsen, JK and Christensen, MG and Cemgil, AT and Godsill, SJ and Jensen, SH (2010) Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment. European Signal Processing Conference. pp. 239-243. ISSN 2219-5491Full text not available from this repository.
In this paper, we consider Bayesian interpolation and parameter estimation in a dynamic sinusoidal model. This model is more flexible than the static sinusoidal model since it enables the amplitudes and phases of the sinusoids to be time-varying. For the dynamic sinusoidal model, we derive a Bayesian inference scheme for the missing observations, hidden states and model parameters of the dynamic model. The inference scheme is based on a Markov chain Monte Carlo method known as Gibbs sampler. We illustrate the performance of the inference scheme to the application of packet-loss concealment of lost audio and speech packets. © EURASIP, 2010.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 18:26|
|Last Modified:||23 Feb 2017 05:24|