What is it about?
When sound interacts with a material, its reflection behavior can be summarized by an attenuation and a delay. These quantities can be estimated in a wide variety of ways. This paper describes a method to do so that is general and flexible to material and geometry. It puts together sophisticated but fast numerical methods for modeling sound propagation with probabilistic methods for guessing the right parameters to put into that model.
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Why is it important?
Anyone wishing to prototype a small space to a large one, or to test materials for that prototyping can use the tools described in this paper to predict acoustic performance.
Perspectives
This paper documents work from my doctoral dissertation and is materially inspired by the dissertation work of the late and great Leo Beranek, whom I had the pleasure to meet with and converse on several occasions. I hope that I have carried the architectural acoustics torch some fraction of the way forward that he did.
alexander bockman
Massachusetts Institute of Technology
Read the Original
This page is a summary of: Bayesian-based estimation of acoustic surface impedance: Finite difference frequency domain approach, The Journal of the Acoustical Society of America, April 2015, Acoustical Society of America (ASA),
DOI: 10.1121/1.4916711.
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