Wavelet Transform
Wavelet Transform : The wavelet transform can be used to decompose time-series. It gives information in both the time and frequency domains, and is therefore useful for describing non-stationary signals like seismograms. The wavelet transform decomposes the signal at different scales, thus characterizing its components at different resolutions. Wavelet coefficients at high resolutions show the fine structure of the time series, and those at low resolutions characterize its coarse features. Possible applications for wavelet transform are de-noising of seismograms (e.g. Galiana-Merino et al. 2003) or automatic phase detection (e.g., Zhang et al. 2003)
No records Found