A prediction framework with time-frequency localization feature for detecting the onset of seismic events.

ABSTRACT: Onset detection of P-wave in seismic signals is of vital importance to seismologists because it is not only crucial to the development of early warning systems but it also aids in estimating the seismic source parameters. All the existing P-wave onset detection methods are based on a combination of statistical signal processing and time-series modeling ideas. However, these methods do not adequately accommodate some advanced ideas that exist in fault detection literature, especially those based on predictive analytics. When combined with a time-frequency (t-f) / temporal-spectral localization method, the effectiveness of such methods is enhanced significantly. This work proposes a novel real-time automatic P-wave detector and picker in the prediction framework with a time-frequency localiz

SUBMITTER: Aggarwal K 

PROVIDER: S-EPMC8062077 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature