A wavelet toolkit for visualization and analysis of large data sets in earthquake research

G. Erlebacher; D. A. Yuen

doi:10.1007/s00024-004-2559-5

A wavelet toolkit for visualization and analysis of large data sets in earthquake research

G. Erlebacher, D. A. Yuen

Earth and Environmental Sciences-Twin Cities

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

Wavelets have a wide range of useful functions that permit them to effectively treat problems such as data compression, scale-localization analysis, feature extraction, visualization, statistics, numerical simulation, and communication. We discuss their features and their use in an integrated manner to handle large-scale problems in earthquake physics and other nonlinear problems in the solid earth geosciences.

Original language	English (US)
Pages (from-to)	2215-2229
Number of pages	15
Journal	Pure and Applied Geophysics
Volume	161
Issue number	11-12
DOIs	https://doi.org/10.1007/s00024-004-2559-5
State	Published - Dec 2004

Bibliographical note

Funding Information:
This research has been supported by the Geophysics, Advanced Computational Research, and Advanced Computer and Infrastructure and Research programs of the National Science Foundation, the Department of Energy and the Environmental Protection Agency. We also acknowledge technical assistance from Fabien J. Dubuffet.

Keywords

Collaboration
Earthquakes
Grid computing
Visualization
Wavelets
Web-based maps

Publisher link

10.1007/s00024-004-2559-5

Find It

Find It at U of M Libraries

Cite this

@article{ac46a9befeb44d798b689e4ea77a5197,

title = "A wavelet toolkit for visualization and analysis of large data sets in earthquake research",

abstract = "Wavelets have a wide range of useful functions that permit them to effectively treat problems such as data compression, scale-localization analysis, feature extraction, visualization, statistics, numerical simulation, and communication. We discuss their features and their use in an integrated manner to handle large-scale problems in earthquake physics and other nonlinear problems in the solid earth geosciences.",

keywords = "Collaboration, Earthquakes, Grid computing, Visualization, Wavelets, Web-based maps",

author = "G. Erlebacher and Yuen, {D. A.}",

note = "Funding Information: This research has been supported by the Geophysics, Advanced Computational Research, and Advanced Computer and Infrastructure and Research programs of the National Science Foundation, the Department of Energy and the Environmental Protection Agency. We also acknowledge technical assistance from Fabien J. Dubuffet.",

year = "2004",

month = dec,

doi = "10.1007/s00024-004-2559-5",

language = "English (US)",

volume = "161",

pages = "2215--2229",

journal = "Pure and Applied Geophysics",

issn = "0033-4553",

publisher = "Birkhauser Verlag Basel",

number = "11-12",

}

TY - JOUR

T1 - A wavelet toolkit for visualization and analysis of large data sets in earthquake research

AU - Erlebacher, G.

AU - Yuen, D. A.

N1 - Funding Information: This research has been supported by the Geophysics, Advanced Computational Research, and Advanced Computer and Infrastructure and Research programs of the National Science Foundation, the Department of Energy and the Environmental Protection Agency. We also acknowledge technical assistance from Fabien J. Dubuffet.

PY - 2004/12

Y1 - 2004/12

N2 - Wavelets have a wide range of useful functions that permit them to effectively treat problems such as data compression, scale-localization analysis, feature extraction, visualization, statistics, numerical simulation, and communication. We discuss their features and their use in an integrated manner to handle large-scale problems in earthquake physics and other nonlinear problems in the solid earth geosciences.

AB - Wavelets have a wide range of useful functions that permit them to effectively treat problems such as data compression, scale-localization analysis, feature extraction, visualization, statistics, numerical simulation, and communication. We discuss their features and their use in an integrated manner to handle large-scale problems in earthquake physics and other nonlinear problems in the solid earth geosciences.

KW - Collaboration

KW - Earthquakes

KW - Grid computing

KW - Visualization

KW - Wavelets

KW - Web-based maps

UR - http://www.scopus.com/inward/record.url?scp=6444244185&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=6444244185&partnerID=8YFLogxK

U2 - 10.1007/s00024-004-2559-5

DO - 10.1007/s00024-004-2559-5

M3 - Article

AN - SCOPUS:6444244185

SN - 0033-4553

VL - 161

SP - 2215

EP - 2229

JO - Pure and Applied Geophysics

JF - Pure and Applied Geophysics

IS - 11-12

ER -

A wavelet toolkit for visualization and analysis of large data sets in earthquake research

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this