Bayesian characterization of porous media using three-microphone tube method in extended frequency ranges
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866913141390049280 |
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| author | Chen, Ziqi Xiang, Ning |
| author_facet | Chen, Ziqi Xiang, Ning |
| contents | The characteristic impedance and the propagation coefficient are among the most important parameters for evaluating the acoustic performance of porous materials. This work investigates the influence of cylindrical modes in an impermeable tube and applies multiple microphones distributed along the tube circumference within the three-microphone framework to extend the valid frequency range of characteristic impedance measurement. During the extended broadband measurements, discontinuities or phase jumps are observed in the experimentally measured propagation coefficient of the porous material under test. A Bayesian inference is applied in a sequential manner to estimate the unwrapped propagation coefficient and characteristic impedance. The results demonstrate that the inferred parameters accurately capture the behavior of the transfer function, allowing accurate parameter estimation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_18495 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Bayesian characterization of porous media using three-microphone tube method in extended frequency ranges Chen, Ziqi Xiang, Ning Classical Physics Data Analysis, Statistics and Probability The characteristic impedance and the propagation coefficient are among the most important parameters for evaluating the acoustic performance of porous materials. This work investigates the influence of cylindrical modes in an impermeable tube and applies multiple microphones distributed along the tube circumference within the three-microphone framework to extend the valid frequency range of characteristic impedance measurement. During the extended broadband measurements, discontinuities or phase jumps are observed in the experimentally measured propagation coefficient of the porous material under test. A Bayesian inference is applied in a sequential manner to estimate the unwrapped propagation coefficient and characteristic impedance. The results demonstrate that the inferred parameters accurately capture the behavior of the transfer function, allowing accurate parameter estimation. |
| title | Bayesian characterization of porous media using three-microphone tube method in extended frequency ranges |
| topic | Classical Physics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2605.18495 |