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 Experiment Videos

Green's function extraction by crosscorrelation and multidimensional deconvolution for outdoor sound propagation.

Max F Denis1, Sandra L Collier1, John M Noble1

  • 1U.S. Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783-1123, USA max.f.denis.ctr@mail.mil, sandra.l.collier4.civ@mail.mil, john.m.noble.civ@mail.mil, william.c.alberts4.civ@mail.mil, david.a.ligon.civ@mail.mil, leng.k.sim.civ@mail.mil, deryck.d.james.civ@mail.mil, christian.g.reiff.civ@mail.mil.

The Journal of the Acoustical Society of America
|November 9, 2018
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Characterizing wake vortex pairs using nonsupervised machine learning.

Optics express·2025
Same author

Factors Associated With Physical Activity During Hospitalization for Hematopoietic Cell Transplantation and After Discharge: A Pilot Study.

Cancer nursing·2025
Same author

Printing a Pacinian Corpuscle: Modeling and Performance.

Micromachines·2021
Same author

Corrigendum to: The effects of a 12-week jump rope exercise program on body composition, insulin sensitivity, and academic self-efficacy in obese adolescent girls.

Journal of pediatric endocrinology & metabolism : JPEM·2020
Same author

Vibration sensing the mammalian way: an artificial Pacinian corpuscle.

Bioinspiration & biomimetics·2020
Same author

The effects of a 12-week jump rope exercise program on body composition, insulin sensitivity, and academic self-efficacy in obese adolescent girls.

Journal of pediatric endocrinology & metabolism : JPEM·2019

This study retrieves the Green's function using controlled-source measurements. Multidimensional deconvolution effectively removes source artifacts, showing the source-to-center radius has minimal impact on results when sufficiently large.

Area of Science:

  • Seismology
  • Geophysics
  • Wave Propagation

Background:

  • Retrieving the Green's function is crucial for seismic imaging and understanding Earth structure.
  • Traditional cross-correlation methods for Green's function retrieval rely on idealized assumptions like lossless media and equipartitioned wavefields.
  • Violations of these assumptions can lead to artifacts, such as smearing by the source point-spread function, in the retrieved Green's function.

Purpose of the Study:

  • To estimate the Green's function between two array stations using outdoor controlled-source measurements.
  • To compare the effectiveness of cross-correlation and multidimensional deconvolution techniques for Green's function retrieval.
  • To investigate the influence of the source-to-center radius on the accuracy of the retrieved Green's function.

Main Methods:

Related Experiment Videos

  • Utilized outdoor measurements from controlled seismic sources.
  • Employed cross-correlation for initial Green's function estimation.
  • Applied multidimensional deconvolution to remove source-induced point-spread function artifacts.

Main Results:

  • Both cross-correlation and multidimensional deconvolution were successfully used to estimate the Green's function.
  • Multidimensional deconvolution effectively removed the point-spread function, improving the fidelity of the retrieved Green's function.
  • The source-to-center radius was found to have a negligible effect on the retrieved Green's function when it exceeded the inter-station distance.

Conclusions:

  • Multidimensional deconvolution is a robust method for Green's function retrieval, mitigating limitations of cross-correlation.
  • Controlled-source seismology, combined with advanced processing, provides reliable estimates of the Green's function.
  • The spatial configuration of sources relative to receiver arrays is important, but a sufficiently large source-to-center radius simplifies retrieval.