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...

First Page Preview

First page PDF preview
You do not currently have access to this article.