The Journal of the Acoustical Society of America (JASA) and JASA Express Letters are calling for papers for a joint Special Issue on "Bayesian Methods in Acoustical Science and Engineering."
Bayesian analysis has been increasingly applied to a wide variety of acoustical research and engineering tasks. Bayesian probability theory provides acousticians with an elegant framework for inferential data analysis which facilitates learning from acoustic experimental investigations that provide a deeper understanding of the underlying theory. In these analysis tasks, certain prior knowledge is often available about the acoustical phenomena under investigation, based either on the underlying physical theory or on certain phenomenological relationships. Bayesian probability theory allows this available information to be incorporated in the processing and analysis and exploited in the Bayesian framework as physical or phenomenological models. Many analysis tasks in acoustics often include two levels of inference, model selection and parameter estimation. Bayesian inferential methods provide solutions to these two levels of inference by extensively using Bayes' theorem within a unified framework.
This Special Issue encourages submissions of original works on various model-based approaches recently applied to signal processing and analysis in acoustics using either one or both levels of inference.
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