Title :
Decomposition of seismic signal via chirplet transform
Author :
Fan, Wanchun ; Zou, Hongxing ; Sun, Yu ; Li, Zhenfu ; Shi, Ren
Author_Institution :
Dept. of Autom. Control, Xi´´an Jiaotong Univ., China
Abstract :
An important challenge in identifying a seismic event is to specify its signal features. The time-varying features of a real time-sampled seismic signal are represented and characterized via the chirplet transform. A time-varying spectrogram template based on the chirplet transform of an underground nuclear explosion is built. The nonstationary template makes the recognition of seismic events (earthquakes and underground nuclear explosions) effortless.
Keywords :
earthquakes; feature extraction; geophysical signal processing; nuclear explosions; seismometers; time-frequency analysis; transforms; Comprehensive Nuclear-Test-Ban Treaty verification; chirplet transform; earthquakes; joint time-frequency analysis; seismic events; seismic signal decomposition; signal feature identification; spectrogram template; time-varying features; underground nuclear explosion; Automation; Chirp; Earthquakes; Explosions; Fourier transforms; Seismology; Signal processing; Spectrogram; Time frequency analysis; Wavelet transforms;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180147
