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

504
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,...
504
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
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
Aliasing01:18

Aliasing

128
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...
128
Bandpass Sampling01:17

Bandpass Sampling

171
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....
171

You might also read

Related Articles

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

Sort by
Same author

Analysis of inequality in maternal and child health outcomes and mortality from 2000 to 2013 in China.

International journal for equity in health·2017
Same author

A Formulated TLR7/8 Agonist is a Flexible, Highly Potent and Effective Adjuvant for Pandemic Influenza Vaccines.

Scientific reports·2017
Same author

A New Viscous Cysteamine Eye Drops Treatment for Ophthalmic Cystinosis: An Open-Label Randomized Comparative Phase III Pivotal Study.

Investigative ophthalmology & visual science·2017
Same author

Prenatal exposure to β2-adrenoreceptor agonists and the risk of autism spectrum disorders in offspring.

Pharmacoepidemiology and drug safety·2017
Same author

Chemical constituents from the whole plants of Pilea cavaleriei Levl subsp. cavaleriei.

Fitoterapia·2017
Same author

Semipermeable Functional DNA-Encapsulated Nanocapsules as Protective Bioreactors for Biosensing in Living Cells.

Analytical chemistry·2017

Related Experiment Video

Updated: Jun 21, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

Shallow sea reverberation suppression based on a range azimuth patch matrix model.

Wenbo Gou1, Hui Li1, Hong Liang1

  • 1School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China.

The Journal of the Acoustical Society of America
|July 8, 2024
PubMed
Summary

This study introduces a novel low-rank sparse decomposition method for active sonar reverberation suppression. The method significantly enhances target detection in shallow waters, outperforming existing techniques.

More Related Videos

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

2.9K
Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

4.9K

Related Experiment Videos

Last Updated: Jun 21, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K
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

2.9K
Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

4.9K

Area of Science:

  • Acoustics
  • Signal Processing
  • Oceanography

Background:

  • Reverberation poses a significant challenge to active sonar detection in shallow marine environments.
  • Effective reverberation suppression is essential for improving the performance of active sonar systems.

Purpose of the Study:

  • To propose and validate a novel reverberation suppression method for active sonar.
  • To enhance target detection capabilities in shallow sea conditions.

Main Methods:

  • A low-rank sparse decomposition approach was developed.
  • A range azimuth patch matrix model was constructed utilizing target sparseness and reverberation non-local self-correlation.
  • The problem was formulated as a low-rank sparse matrix recovery optimization problem.

Main Results:

  • The proposed method demonstrated superior reverberation suppression compared to reverberation pre-whitening and sparse fractional Fourier transform.
  • Improved detection results were achieved, particularly at signal-to-interference ratios below -2 dB.
  • Validation was confirmed using measured sonar data.

Conclusions:

  • The proposed low-rank sparse decomposition method offers significant improvements in active sonar reverberation suppression.
  • This technique enhances target detection performance in challenging shallow sea environments.
  • The method proves effective even under low signal-to-interference conditions.