Trans-dimensional Bayesian approaches to room acoustic modal analysis

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Authors
Beaton, Douglas Brian
Issue Date
2016-08
Type
Electronic thesis
Thesis
Language
ENG
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Architectural sciences
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Abstract
Bayesian approaches to room acoustic modal analysis offer a framework to identify numerous decaying modes in an impulse response. Typical Bayesian analysis requires two distinct steps: model selection and parameter estimation. Trans-dimensional approaches combine these steps. Model dimensionality itself becomes a parameter, and the analysis is performed via parameter estimation.
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August 2016
School of Architecture
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Rensselaer Polytechnic Institute, Troy, NY
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