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

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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 stretching vibration...
Wave Parameters01:10

Wave Parameters

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...
Modes of Standing Waves: II01:04

Modes of Standing Waves: II

The starting point for expressing the modes of standing waves is understanding the boundary conditions that the waves must follow. The boundary conditions are derived from the physical understanding of how the standing waves are sustained, that is, how the vibrating particles of the medium behave at the boundaries imposed on them.
For a tube open at one end and closed at the other filled with air, the modes are such that there is always an antinode at the open end and a node at the closed end.
Modes of Standing Waves - I01:03

Modes of Standing Waves - I

A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This phenomenon...
Aliasing01:18

Aliasing

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 signal...
Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

You might also read

Related Articles

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

Sort by
Same author

A craft-project loudspeaker to serve as an educational demonstration.

The Journal of the Acoustical Society of America·2012
Same author

The effect of nearby bubbles on array gain.

The Journal of the Acoustical Society of America·2012
Same author

Measuring and modeling the bubble population produced by an underwater explosion.

The Journal of the Acoustical Society of America·2011
Same author

Application of the coherent-to-incoherent intensity ratio to estimation of ocean surface roughness from high-frequency, shallow-water propagation measurements.

The Journal of the Acoustical Society of America·2010
Same author

Sonar signal processing using probabilistic signal and ocean environmental models.

The Journal of the Acoustical Society of America·2009
Same author

On the relationship between signal bandwidth and frequency correlation for ocean surface forward scattered signals.

The Journal of the Acoustical Society of America·2005
Same journal

Segmental vs phrase-level creak in Polish: An acoustic analysis.

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

Interaction of near-wall bubble arrays with acoustic waves induced by an oscillating rigid wall.

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

Ultra-broadband underwater acoustic projector based on transverse resonance orthogonal beam (TROB) mode and acoustic matching layer technique.

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

Fine-scale quantitative analysis of bowhead whale (Balaena mysticetus) song shows varying stability of song types.

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

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

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

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

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

Waveguide invariant analysis for modeling time-frequency striations in a range-dependent environment.

Alexander W Sell1, R Lee Culver

  • 1Graduate Program in Acoustics, The Pennsylvania State University, University Park, Pennsylvania 16801, USA. aws164@psu.edu

The Journal of the Acoustical Society of America
|November 18, 2011
PubMed
Summary
This summary is machine-generated.

A new range-dependent waveguide invariant distribution models acoustic interference patterns in shallow water. This method significantly reduces computational cost compared to traditional parabolic equation techniques.

More Related Videos

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

Related Experiment Videos

Last Updated: May 27, 2026

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

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

Area of Science:

  • Acoustics
  • Oceanography
  • Wave propagation

Background:

  • The waveguide invariant is crucial for analyzing acoustic interference patterns like striations in time-frequency plots.
  • Shallow water environments present complex acoustic propagation challenges.
  • Conventional parabolic equation methods can model these patterns but are computationally intensive.

Purpose of the Study:

  • To develop a computationally efficient method for modeling spectral striation patterns in range-dependent shallow water waveguides.
  • To introduce a range-dependent waveguide invariant distribution for improved acoustic analysis.

Main Methods:

  • Formulation of a range-dependent waveguide invariant distribution.
  • Application of this distribution to model spectral striation patterns.
  • Comparison of computational efficiency with conventional parabolic equation methods.

Main Results:

  • The proposed range-dependent waveguide invariant distribution effectively describes spectral striation patterns.
  • This novel approach requires a fraction of the computing power needed by parabolic equation methods.
  • Enables efficient modeling of acoustic interference in complex environments.

Conclusions:

  • The range-dependent waveguide invariant distribution offers a significant computational advantage for analyzing acoustic phenomena in shallow water.
  • This method provides a powerful tool for understanding and predicting acoustic behavior in complex, range-dependent environments.