Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Echo01:06

Echo

540
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
540
Impedances and Admittance01:23

Impedances and Admittance

733
In the realm of AC circuits, passive circuit elements like resistors, inductors, and capacitors take on a different character when characterized by phasor voltage and current. Their behavior is expressed through impedance, a vital concept in AC circuit analysis.
Impedance is a measure of resistance to sinusoidal current flow in an AC circuit. Unlike their behavior in DC circuits, where inductors appear as short circuits and capacitors as open circuits, the behavior of these components in AC...
733
Wave Parameters01:10

Wave Parameters

7.8K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
7.8K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

587
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
587
Propagation of Waves01:07

Propagation of Waves

2.4K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
2.4K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

117
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
117

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fluoroscopic quantification of early in vivo expansion of VIATORR controlled expansion stent-grafts after TIPS: hemodynamic and clinical implications.

Abdominal radiology (New York)·2026
Same author

Multifocal Pixel/Photon-Reassignment FLIM (MPPR-FLIM): A Super-Resolution Analytical Tool for Characterizing Subcellular Fluorescence Lifetime Heterogeneity via TCSPC.

Analytical chemistry·2026
Same author

Nanoparticles reach metastatic tumours via enhanced permeability of adjacent vessels.

Nature nanotechnology·2026
Same author

Optimal type and dose of exercise for improving executive functions in older adults: a systematic review and Bayesian model-based network meta-analysis of RCTs.

BMC geriatrics·2026
Same author

Comparative Prognostic Assessment of EKFC Equations for Mortality Prediction: A Population-based Cohort Study.

Cardiorenal medicine·2026
Same author

Discriminating bipolar depression from major depressive disorder using functional and microstructural signatures of inferior fronto-occipital fasciculus: Promising results from an MRI study.

Journal of affective disorders·2026

Related Experiment Video

Updated: Jul 26, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.0K

Boundary admittance estimation for wave-based acoustic simulations using Bayesian inference.

Ziqi Chen1, Ning Xiang1, Kirill V Horoshenkov2

  • 1Graduate Program in Architectural Acoustics, School of Architecture, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.

JASA Express Letters
|June 13, 2023
PubMed
Summary
This summary is machine-generated.

Bayesian inference accurately estimates acoustic surface admittance models for wave-based simulations. This method effectively captures frequency-dependent boundary conditions, improving acoustic modeling accuracy.

More Related Videos

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.8K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

554

Related Experiment Videos

Last Updated: Jul 26, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.0K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.8K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

554

Area of Science:

  • Acoustics and Computational Physics

Background:

  • Accurate acoustic simulations rely on defining boundary conditions, specifically acoustic surface admittance or impedance.
  • Modeling frequency-dependent boundary conditions is crucial for wave-based acoustic simulations.

Purpose of the Study:

  • To apply Bayesian inference for estimating the order and parameters of a multipole admittance model.
  • To develop a unified Bayesian framework for approximating frequency-dependent acoustic admittance.

Main Methods:

  • Experimental measurement of frequency-dependent acoustic admittance.
  • Application of two levels of Bayesian inference to multipole admittance models.
  • Incorporation of the maximum entropy strategy within the Bayesian framework.

Main Results:

  • The study successfully estimated the order and parameter values of the multipole admittance model.
  • The unified Bayesian framework proved effective for approximating acoustic admittance.
  • Analysis confirmed the suitability of multipole model-based Bayesian inference.

Conclusions:

  • Bayesian inference provides a robust method for estimating complex acoustic boundary conditions.
  • The developed framework enhances the accuracy of wave-based acoustic simulations.
  • This approach is well-suited for arbitrary frequency-dependent boundary conditions.