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

955
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,...
955
Methods of Sterilization I: Physical Methods01:29

Methods of Sterilization I: Physical Methods

23.6K
As used in a healthcare facility, sterilization destroys all microorganisms through physical or chemical methods. The physical method includes steam, dry heat, boiling water, and radiation.
Steam sterilization uses non-toxic, low-cost moist heat in the form of saturated steam under pressure, which is fast, microbicidal, and sporicidal, and quickly warms and penetrates fabrics. Autoclaves, or steam sterilizers, expose each item to direct steam contact for a predetermined time at the necessary...
23.6K
Statistical Significance01:50

Statistical Significance

21.3K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.3K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

963
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
963
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

1.6K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.6K
Discrete Fourier Transform01:15

Discrete Fourier Transform

899
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
899

You might also read

Related Articles

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

Sort by
Same author

Influence of duty-cycle recording on measuring bat activity in passive acoustic monitoring.

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

Head-related transfer function predictions reveal dominant sound propagation mechanisms to the dolphin ears.

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

Movement trajectories reflect active information acquisition by an echolocating porpoise in a target discrimination task.

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

Acoustic scattering by smooth and rough elastic cylinders insonified by directional sonars: Bistatic experiments.

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

Acoustic scattering by smooth elastic cylinders insonified by directional transceivers: Monostatic theory and experiments.

The Journal of the Acoustical Society of America·2023
Same author

Beluga whale (Delphinapterus leucas) acoustic foraging behavior and applications for long term monitoring.

PloS one·2021
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
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

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

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

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

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

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

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

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

Related Experiment Video

Updated: Jan 31, 2026

Using Neutron Spin Echo Resolved Grazing Incidence Scattering to Investigate Organic Solar Cell Materials
06:05

Using Neutron Spin Echo Resolved Grazing Incidence Scattering to Investigate Organic Solar Cell Materials

Published on: January 15, 2014

8.3K

Echo statistics associated with discrete scatterers: A tutorial on physics-based methods.

Timothy K Stanton1, Wu-Jung Lee2, Kyungmin Baik3

  • 1Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Mail Stop #11, Woods Hole, Massachusetts 02543, USA.

The Journal of the Acoustical Society of America
|January 3, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces physics-based statistics for modeling echo fluctuations from active sensor systems. This approach helps infer scatterer properties and predict system performance in various acoustic and electromagnetic applications.

More Related Videos

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas
03:29

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas

Published on: March 8, 2024

974
Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
08:03

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

2.6K

Related Experiment Videos

Last Updated: Jan 31, 2026

Using Neutron Spin Echo Resolved Grazing Incidence Scattering to Investigate Organic Solar Cell Materials
06:05

Using Neutron Spin Echo Resolved Grazing Incidence Scattering to Investigate Organic Solar Cell Materials

Published on: January 15, 2014

8.3K
Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas
03:29

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas

Published on: March 8, 2024

974
Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
08:03

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

2.6K

Area of Science:

  • Acoustics and Signal Processing
  • Physics-Based Modeling

Background:

  • Echoes from active sensor systems fluctuate due to interference and statistical processes.
  • These fluctuations offer insights into scatterer properties like numerical density.
  • Understanding fluctuations is key for predicting system performance and uncertainty.

Purpose of the Study:

  • To present a tutorial on physics-based statistics for modeling echo fluctuations.
  • To demonstrate how physics-based statistics can infer scatterer properties and predict system performance.
  • To provide a general framework applicable across diverse scientific fields.

Main Methods:

  • Modeling based on scattering physics, multiple scatterer addition, and system effects (beampattern, signal type).
  • Incorporation of signal theory, including matched filter processing.
  • Consideration of environmental factors like boundaries and medium heterogeneities.

Main Results:

  • Physics-based statistics provides a predictive model for echo fluctuations.
  • The model integrates scattering physics, system characteristics, and signal processing.
  • The framework is adaptable to various interference and statistical phenomena.

Conclusions:

  • Physics-based statistics is a powerful tool for analyzing and predicting sensor system performance.
  • The scalar field approach ensures broad applicability across acoustics, ultrasound, radar, and laser systems.
  • This modeling enhances understanding of scatterer properties and environmental influences.