Bayesian Deconvolution of Sparse Processes: In this work, various Bayesian methods for deconvolution and blind deconvolution of sparse processes are studied. For blind deconvolution of sparse processes, the inverse-gamma model is proposed as a relaxation of the well known Bernoulli-Gaussian model. Methods based on the expectation-maximization algorithm are investigated for both models, and several statistical inference and parameter estimation techniques are presented for expectation and maximization steps. The improvement in performance is demonstrated by experiments on simulated...
Bayesian Deconvolution of Sparse Processes: In this work, various Bayesian methods for deconvolution and blind deconvolution of sparse processes are...