Spectrogram analysis of selected tremor signals using short-time Fourier transform and continuous wavelet transform | Zendy

T. Bartosch | Zendy; Daniel Seidl | Zendy

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Spectrogram analysis of selected tremor signals using short-time Fourier transform and continuous wavelet transform

Author(s) -

T. Bartosch,

Daniel Seidl

Publication year - 1999

Publication title -

annals of geophysics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 60

eISSN - 2037-416X

pISSN - 1593-5213

DOI - 10.4401/ag-3733

Subject(s) - spectrogram , short time fourier transform , constant q transform , continuous wavelet transform , fourier transform , time–frequency analysis , harmonic wavelet transform , wavelet transform , speech recognition , computer science , wavelet , signal (programming language) , acoustics , geology , pattern recognition (psychology) , fourier analysis , artificial intelligence , mathematics , discrete wavelet transform , physics , telecommunications , radar , mathematical analysis , programming language

Among a variety of spectrogram methods Short-Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) were selected to analyse transients in non-stationary tremor signals. Depending on the properties of the tremor signal a more suitable representation of the signal is gained by CWT. Three selected broadband tremor signals from the volcanos Mt. Stromboli, Mt. Semeru and Mt. Pinatubo were analyzed using both methods. The CWT can also be used to extend the definition of coherency into a time-varying coherency spectrogram. An example is given using array data from the volcano Mt. Stromboli

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