Rapid joint detection and classification with wavelet bases via Bayes theorem

Bulletin of the Seismological Society of America

Volumn 90, Issue 3, 2000, Pages 764-774

  Gendron, P ^a   Ebel, J ^a   Manolakis, D ^a  

^a BOSTON COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DATA PROCESSING; MONITORING SYSTEM; SEISMIC DISCRIMINATION; SEISMICITY;

EID: 0033839322     PISSN: 00371106     EISSN: None     Source Type: Journal    
DOI: 10.1785/0119990103     Document Type: Article

References (20)

1. Automatic phase pickers: Their present use and future prospects
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4. Orthonormal bases of compactly supported wavelets
5. Seismic discrimination with artificial neural networks: Preliminary results with regional spectral data
6. The m(Lg)(F) magnitude scale: A proposal for its use for Northeastern North America
7. A teleseism-specific detection algorithm for single short-period traces
8. An empirical Bayes estimator of seismic events using wavelet packet bases
9. An earthquake detector employing frequency domain techniques
10. An automatic seismic signal detection algorithm based on the Walsh transform
11. Bayesian seismic waveform inversion: Parameter estimation and uncertainty analysis
12. Pattern recognition for earthquake detection
13. Multiwavelet spectral and polarization analysis of seismic records
14. A theory for multiresolution signal decomposition: The wavelet representation
15. Local Bayesian inversion: Theoretical developments
16. A coda magnitude scale for the New England Seismic Network
17. To Bayes or not to Bayes
18. Wavelet transforms versus Fourier transforms
19. Towards the identification of later seismic phases
20. A comparison of select trigger algorithms for automated global seismic phase and event detection