Recovering sinusoids from data using Bayesian inference with RJMCMC
D Üstündag - 2011 Seventh International Conference on …, 2011 - ieeexplore.ieee.org
We consider a problem of detecting and estimating of noisy sinusoids within a Bayesian
probabilistic inferential framework in which inferences about signal parameters are drawn …
probabilistic inferential framework in which inferences about signal parameters are drawn …
An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC
This paper addresses the sensitivity of the algorithm proposed by Andrieu and Doucet (IEEE
Trans. Signal Process., 47 (10), 1999), for the joint Bayesian model selection and estimation …
Trans. Signal Process., 47 (10), 1999), for the joint Bayesian model selection and estimation …
Reversible Jump Particle Filter (RJPF) for Wideband DOA Tracking
We extend the maximum likelihood method for wideband direction of arrival (DOA)
estimation to the case of an unknown number of moving sources. The extension is nontrivial …
estimation to the case of an unknown number of moving sources. The extension is nontrivial …