Global seismic event detection using a matched filter on long-period seismograms

1994 ◽  
Vol 99 (B7) ◽  
pp. 13713-13725 ◽  
Author(s):  
Peter M. Shearer
Keyword(s):  
Event Detection ◽  
Seismic Event ◽  
Matched Filter ◽  
Long Period ◽  
Seismic Event Detection

A real-time digital seismic event detection and recording system for network applications

1982 ◽  
Vol 72 (6A) ◽  
pp. 2339-2348
Author(s):  
Andrew J. Michael ◽  
Stephen P. Gildea ◽  
Jay J. Pulli
Keyword(s):  
Real Time ◽  
Event Detection ◽  
Seismic Event ◽  
Weather Conditions ◽  
Recording System ◽  
Walsh Transform ◽  
Long Period ◽  
Short Period ◽  
Seismic Event Detection ◽  
Period Data

abstract A real-time digital seismic event detection and recording system has been developed for the MIT Seismic Network. The system has been designed specifically for an environment of low natural seismic activity and for surface stations which are often influenced by weather conditions and cultural noise. The system runs on an HP-1000 computer and can handle up to 16 channels of short- and long-period data. The structure of the system centers around the event detectors, one for short-period data and one for long-period data. These detectors base their decisions on a metric computed from the Walsh transform of the data. This allows them to detect changes in the amplitude of the waveform as well as frequency shifts. Detections at several stations are correlated to prevent glitches from triggering the detector. Present operation successfully saves those events that are large enough for analysis and leaves 23 of the computer available for general timesharing use.

Automatic seismic event detection using migration and stacking: a performance and parameter study in Hengill, southwest Iceland

2017 ◽  
Vol 209 (3) ◽  
pp. 1866-1877 ◽  
Author(s):  
F. Wagner ◽  
A. Tryggvason ◽  
R. Roberts ◽  
B. Lund ◽  
Ó. Gudmundsson
Keyword(s):  
Event Detection ◽  
Seismic Event ◽  
Parameter Study ◽  
Seismic Event Detection ◽  
A Performance

scholarly journals High-resolution seismic event detection using local similarity for Large-N arrays

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Zefeng Li ◽  
Zhigang Peng ◽  
Dan Hollis ◽  
Lijun Zhu ◽  
James McClellan
Keyword(s):  
High Resolution ◽  
Event Detection ◽  
Seismic Event ◽  
Local Similarity ◽  
Large N ◽  
Seismic Event Detection
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