Robust and intelligent bearing estimation
Patent
·
OSTI ID:872948
- Albuquerque, NM
A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- DOE Contract Number:
- AC04-94AL85000
- Assignee:
- Sandia Corporation (Albuquerque, NM)
- Patent Number(s):
- US 6049510
- OSTI ID:
- 872948
- Country of Publication:
- United States
- Language:
- English
Multiwavelet spectral and polarization analyses of seismic records
|
journal | December 1995 |
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Conference
·
Wed Jul 01 00:00:00 EDT 1998
·
OSTI ID:872948
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Journal Article
·
Thu Jun 03 00:00:00 EDT 1999
· Journal of Pure and applied Geophysics
·
OSTI ID:872948
Robust bearing estimation for 3-component stations
Technical Report
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Tue Feb 01 00:00:00 EST 2000
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OSTI ID:872948
Related Subjects
robust
intelligent
bearing
estimation
method
comprising
quadrature
digital
filtering
event
observations
constructing
plurality
observation
matrices
centered
time-frequency
interval
determining
matrix
parameter
degree
polarization
linearity
particle
motion
dyadicy
signal-to-noise
ratio
choosing
produce
set
available
estimates
estimating
chosen
signal-to-noise ratio
noise ratio
frequency interval
bearing estimation
/367/342/
intelligent
bearing
estimation
method
comprising
quadrature
digital
filtering
event
observations
constructing
plurality
observation
matrices
centered
time-frequency
interval
determining
matrix
parameter
degree
polarization
linearity
particle
motion
dyadicy
signal-to-noise
ratio
choosing
produce
set
available
estimates
estimating
chosen
signal-to-noise ratio
noise ratio
frequency interval
bearing estimation
/367/342/