Automated determination of S-phase arrival times using autoregressive prediction: Application to local and regional distances

Geophysical Journal International

Volumn 188, Issue 2, 2012, Pages 687-702

  Kuperkoch L ^a,c   Meier, T ^b   Brustle A ^a   Lee, J ^a   Friederich, W ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

^b UNIVERSITY OF KIEL   (Germany)

^c Bestec GmbH   (Germany)

Author keywords

Body waves; Computational seismology; Time series analysis

Indexed keywords

AR MODELS; ARRIVAL TIME; AUTO-REGRESSIVE; AVERAGE DEVIATION; AVERAGE DIFFERENCE; BODY WAVES; CHARACTERISTIC FUNCTIONS; DATA SETS; EARLY WARNING SYSTEMS; FORWARD PREDICTION; LARGE DATA; LEAST-SQUARES APPROACH; MOVING WINDOW; MULTICOMPONENTS; PREDICTION ERRORS; QUALITY ASSESSMENT; QUALITY CRITERIA; S-PHASE; SEISMIC NETWORKS; SIGNAL TO NOISE; SYNTHETIC TESTS; TELESEISMIC EVENTS; WAVE FORMS; WEIGHTING SCHEME;

COMPUTER SIMULATION; EARTHQUAKES; ESTIMATION; FORECASTING; SIGNAL TO NOISE RATIO; TIME SERIES; TIME SERIES ANALYSIS;

ALGORITHMS;

ALGORITHM; ARRIVAL TIME; BODY WAVE; EARLY WARNING SYSTEM; EARTHQUAKE; LEAST SQUARES METHOD; PREDICTION; SEISMOLOGY; SIGNAL-TO-NOISE RATIO;

EID: 84855452379     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1111/j.1365-246X.2011.05292.x     Document Type: Article

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