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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorXiang, Ning
dc.contributorBraasch, Jonas
dc.contributorMarkov, Ivan
dc.contributor.authorBeaton, Douglas Brian
dc.date.accessioned2021-11-03T08:41:06Z
dc.date.available2021-11-03T08:41:06Z
dc.date.created2016-10-07T11:25:42Z
dc.date.issued2016-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1789
dc.descriptionAugust 2016
dc.descriptionSchool of Architecture
dc.description.abstractBayesian 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.
dc.description.abstractThis work implements both fixed-dimensional and trans-dimensional nested sampling algorithms to analyze impulse responses and determine their modal content. Impulse responses are simulated using the Prony Model to capture amplitude, decay time, frequency and phase for each room mode. Experimental measurements are performed within the test chamber in two different configurations to compare results from each scenario. After performing initial analyses to determine modal frequencies additional measurements are performed to determine decay times at the frequencies identified. Decay times resulting from the Bayesian analyses of the measured impulse responses agree well with experimentally measured values from the test chamber. Numerous observations of the algorithmic behavior of the analyses are made. Ultimately, this work presents a first investigation into trans-dimensional nested sampling for room acoustic modal analysis. Numerous avenues for further exploration are discussed.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectArchitectural sciences
dc.titleTrans-dimensional Bayesian approaches to room acoustic modal analysis
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid177592
dc.digitool.pid177593
dc.digitool.pid177594
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentSchool of Architecture


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