An Empirical Approach to Subspace Detection

Research Article| May 01, 2014 An Empirical Approach to Subspace Detection Sarah A. Barrett; Sarah A. Barrett Department of Geophysics, Stanford University, Stanford, California 94305‐2215 U.S.A.sabarrett@stanford.edu Search for other works by this author on: GSW Google Scholar Gregory C. Beroza Gregory C. Beroza Department of Geophysics, Stanford University, Stanford, California 94305‐2215 U.S.A.sabarrett@stanford.edu Search for other works by this author on: GSW Google Scholar Author and Article Information Sarah A. Barrett Department of Geophysics, Stanford University, Stanford, California 94305‐2215 U.S.A.sabarrett@stanford.edu Gregory C. Beroza Department of Geophysics, Stanford University, Stanford, California 94305‐2215 U.S.A.sabarrett@stanford.edu Publisher: Seismological Society of America First Online: 14 Jul 2017 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © 2014 by the Seismological Society of America Seismological Research Letters (2014) 85 (3): 594–600. https://doi.org/10.1785/0220130152 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Sarah A. Barrett, Gregory C. Beroza; An Empirical Approach to Subspace Detection. Seismological Research Letters 2014;; 85 (3): 594–600. doi: https://doi.org/10.1785/0220130152 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search Waveform cross‐correlation detection methods, or match filter techniques (Van Trees, 1968), exploit waveform similarity for proximal events, and have proven to be a powerful approach for detecting and characterizing seismic events. Among the advantages over more traditional techniques is the ability to detect in adverse observational conditions either when events are closely spaced in time, such that waveforms overlap, or when the signal‐to‐noise ratio (SNR) is much less than unity because signal strength is low. Correlation methods can also be used for precise measurements of relative arrival time (e.g., Schaff et al., 2004) and relative amplitude... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.