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GEOREF RECORD

Detection of P-waves from weak sources at great distances

Jon F. Claerbout
Detection of P-waves from weak sources at great distances
Geophysics (April 1964) 29 (2): 197-211

Abstract

Optimum (Wiener sense) filters for suppression of noise in multiple time series are computed by a new method due to E. A. Robinson. Filters for prediction error and interpolation error have been used to detect P-wave signals from three teleseismic events. These filters facilitate detection of signals in noise with low signal-to-noise ratios. The instrumentation consists of short-period Benioff seismometers, both three-component stations and surface arrays of verticals.It was found that microseismic noise in the pass band of these instruments is more accurately termed "Brownian motion of a surface" than "random waveforms with characteristic direction(s) of propagation". Thus, single time-series filters work almost as well as multiple time-series matrix filters. Prediction-error filters gave results substantially more satisfactory than simple band-pass filters.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 29
Serial Issue: 2
Title: Detection of P-waves from weak sources at great distances
Author(s): Claerbout, Jon F.
Pages: 197-211
Published: 196404
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
Accession Number: 2002-077438
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 200224
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