obspy.signal.tf_misfit.cwt

cwt(st, dt, w0, fmin, fmax, nf=100, wl='morlet')[source]

Continuous Wavelet Transformation in the Frequency Domain.

See also

[Kristekova2006], eq. (4)

Parameters:

  • st – time dependent signal.

  • dt – time step between two samples in st (in seconds)

  • w0 – parameter for the wavelet, tradeoff between time and frequency resolution

  • fmin – minimum frequency (in Hz)

  • fmax – maximum frequency (in Hz)

  • nf – number of logarithmically spaced frequencies between fmin and fmax

  • wl – wavelet to use, for now only ‘morlet’ is implemented

Returns:

time frequency representation of st, type numpy.ndarray of complex values, shape = (nf, len(st)).