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

Continuous Wavelet Transformation in the Frequency Domain.

See also

[Kristekova2006], eq. (4)

  • 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

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