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

Interference: Path Lengths01:10

Interference: Path Lengths

1.3K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
1.3K
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

175
In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
175
Sound Waves: Interference00:53

Sound Waves: Interference

3.7K
Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
3.7K
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

688
Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
688
Interference and Superposition of Waves01:07

Interference and Superposition of Waves

5.0K
When two waves of the same nature occur in the same region simultaneously, they result in interference. Interference of waves implies that the net effect of the waves is the sum of the individual waves' effects. However, it does not imply that the individual waves affect the propagation of other waves.
Interference occurs in mechanical waves, such as sound waves, waves on a string, and surface water waves. Mechanical waves correspond to the physical displacement of particles. Hence,...
5.0K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

933
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...
933

You might also read

Related Articles

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

Sort by
Same author

Continuous forecasting of range-dependent ocean sound speed field: Diffusion model meets multi-output Gaussian process.

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

Direction-of-arrival estimation for weak underwater targets via flexible sparsity-aware modeling.

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

Hankel-FNO: Fast underwater acoustic charting via physics-encoded Fourier neural operator.

The Journal of the Acoustical Society of America·2025
Same author

Hybrid data- and model-driven three-dimensional ocean sound speed field super-resolution: Diffusion model meets low-rank tensor.

The Journal of the Acoustical Society of America·2025
Same author

Unveiling the spatial-temporal dynamics: Diffusion-based learning of conditional distribution for range-dependent ocean sound speed field forecasting.

The Journal of the Acoustical Society of America·2024
Same author

Strategic deployment in the deep: Principled underwater sensor placement optimization with three-dimensional acoustic map.

The Journal of the Acoustical Society of America·2024

Related Experiment Video

Updated: Jun 11, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.4K

Beam-space spatial spectrum reconstruction under unknown stationary near-field interference: Algorithm design and

Jichen Chu1, Lei Cheng1, Wen Xu2

  • 1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.

JASA Express Letters
|October 2, 2024
PubMed
Summary

This study introduces a novel beam-space spatial spectrum reconstruction algorithm to improve acoustic array signal processing. The method effectively handles stationary near-field interference for better target detection.

More Related Videos

Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.3K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K

Related Experiment Videos

Last Updated: Jun 11, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.4K
Implementation of a Reference Interferometer for Nanodetection
16:11

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

9.3K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K

Area of Science:

  • Acoustic array signal processing
  • Electromagnetics and Signal Processing

Background:

  • Stationary near-field interferences pose challenges for spatial spectrum estimation and direction-of-arrival estimation in acoustic arrays.
  • Existing algorithms often require prior knowledge of the interference array manifold, limiting their applicability.

Purpose of the Study:

  • To propose a new beam-space spatial spectrum reconstruction algorithm.
  • To overcome the limitations of conventional methods in scenarios with near-field interference.

Main Methods:

  • Development of a beam-space spatial spectrum reconstruction algorithm.
  • Evaluation using simulated and real-life experimental data.

Main Results:

  • The proposed algorithm demonstrates robustness and efficacy in the presence of strong stationary near-field interference.
  • Successful reconstruction of spatial spectrum under challenging interference conditions.

Conclusions:

  • The novel algorithm effectively addresses stationary near-field interference in acoustic array signal processing.
  • This approach enhances target detection capabilities by improving spatial spectrum estimation.