Translations:Ricker wavelet/1/en

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Various types of wavelets are used in practice (Hubral and Tygel, 1989[1]). Accurate estimation of wavelets is essential in seismic processing (Ulrych et al., 1995[2]). A wavelet commonly used in generating synthetic seismograms is the Ricker wavelet, named after Norman Ricker (1896–1980). The Ricker wavelet is noncausal and symmetric about its origin time. Furthermore, the Ricker wavelet has the important quality that it is a zero-phase signal. (A zero-phase signal is also an autocorrelation; see above.) In continuous time, the Ricker wavelet is given by the second derivative of the Gaussian function (Clay, 1990[3], p. 285):

  1. Hubral, P., and M. Tygel, 1989, Analysis of the Rayleigh pulse: Geophysics, 54, 654–658.
  2. Ulrych, T. J., R. D. Velis, and M. D. Sacchi, 1995, Wavelet estimation revisited: The Leading Edge, 14, 1139–1143.
  3. Clay, C. S., 1990, Elementary exploration seismology: Prentice Hall.