Jove
Visualize
Contact Us

Related Concept Videos

Aliasing01:18

Aliasing

426
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
426
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.5K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.5K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

276
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....
276
Sinusoidal Sources01:18

Sinusoidal Sources

920
Direct current (DC) refers to an electric current that flows in a single direction, maintaining a constant polarity. This is in contrast to alternating current (AC), which periodically changes its direction and magnitude. AC forms the backbone of modern electricity transmission and distribution systems due to its efficient long-distance transmission capabilities.
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...
920
Echo01:06

Echo

745
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,...
745
Sound Intensity00:58

Sound Intensity

4.5K
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
4.5K

You might also read

Related Articles

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

Sort by
Same journal

Genetic algorithm-informed microjet control for noise reduction in supersonic impinging jetsa).

The Journal of the Acoustical Society of America·2026
Same journal

Physics-regularized neural acoustic fields for spatial layout inference from sparse room impulse responsesa).

The Journal of the Acoustical Society of America·2026
Same journal

Impedance eduction method based on multiple measurements with different incident modes in cylindrical ducts with reflective terminations.

The Journal of the Acoustical Society of America·2026
Same journal

Review of ultrasonic methods for monitoring, damage detection, and processing of lithium-ion batteries throughout their life cycle.

The Journal of the Acoustical Society of America·2026
Same journal

Assessment of silver nanoparticle mediated changes in osmotic fragility of red blood cells by a LASER diode based photoacoustic system.

The Journal of the Acoustical Society of America·2026
Same journal

Topographic effects on reflected acoustic waves from the OSIRIS-REx reentry observed from stratospheric balloons.

The Journal of the Acoustical Society of America·2026
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 Experiment Video

Updated: Dec 2, 2025

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
04:32

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

673

Acoustic source localization with the angular spectrum approach in continuously stratified media.

Scott Schoen1, Costas D Arvanitis1

  • 1Mechanical Engineering, Georgia Tech, Atlanta, Georgia 30332, USAscottschoenjr@gatech.edu, costas.arvanitis@gatech.edu.

The Journal of the Acoustical Society of America
|November 3, 2020
PubMed
Summary

Acoustic source localization is improved using a stratified angular spectrum approach (ASA). This frequency domain method enhances accuracy in layered media for various applications, requiring minimal computation time.

More Related Videos

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.3K
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

3.5K

Related Experiment Videos

Last Updated: Dec 2, 2025

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
04:32

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

673
Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.3K
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

3.5K

Area of Science:

  • Acoustics
  • Signal Processing
  • Wave Propagation

Background:

  • The angular spectrum approach (ASA) is a frequency domain method for acoustic field calculation.
  • ASA is efficient for passive source localization and forward propagation modeling in homogeneous media.
  • Accurate acoustic localization in stratified media remains a challenge.

Purpose of the Study:

  • To develop and validate a stratified ASA solution for improved acoustic source localization.
  • To assess the accuracy and efficiency of the proposed method in layered environments.
  • To demonstrate the applicability of the stratified ASA to biomedical, underwater, and atmospheric acoustics.

Main Methods:

  • Developed a first-order analytical solution for the acoustic field in continuously stratified media using ASA.
  • Conducted simulations to compare the stratified ASA solution with the uncorrected ASA.
  • Evaluated localization error in terms of wavelengths.

Main Results:

  • The stratified ASA solution significantly reduced localization error compared to the uncorrected ASA (from 1.2 ± 0.3 to 0.49 ± 0.3 wavelengths).
  • The method demonstrated high accuracy relevant to biomedical, underwater, and atmospheric acoustic applications.
  • The stratified ASA solution achieved millisecond computation times on nonspecialized hardware.

Conclusions:

  • The proposed stratified ASA correction enables efficient and accurate acoustic source localization in stratified environments.
  • This advancement is crucial for applications requiring precise acoustic monitoring in complex media.
  • The method offers a computationally inexpensive solution for real-time acoustic analysis.