obspy.signal.tf_misfit.tpg¶
- tpg(st1, st2, dt=0.01, fmin=1.0, fmax=10.0, nf=100, w0=6, norm='global', st2_isref=True, a=10.0, k=1.0)[source]¶
Time-dependent Phase Goodness-of-Fit
See also
[Kristekova2009], Eq.(16)
Parameters: - st1 signal 1 of two signals to compare, type numpy.ndarray with shape (number of components, number of time samples) or (number of timesamples, ) for single component data
- st2 signal 2 of two signals to compare, type and shape as st1
- dt time step between two samples in st1 and st2
- fmin minimal frequency to be analyzed
- fmax maximal frequency to be analyzed
- nf number of frequencies (will be chosen with logarithmic spacing)
- w0 parameter for the wavelet, tradeoff between time and frequency resolution
- norm ‘global’ or ‘local’ normalization of the misfit
- st2_isref (bool) True if st2 is a reference signal, False if none is a reference
- a Maximum value of Goodness-of-Fit for perfect agreement
- k sensitivity of Goodness-of-Fit to the misfit
Returns: time dependent Phase Goodness-of-Fit, type numpy.ndarray with shape (len(st1),) for single component data and (number of components, len(st1)) for multicomponent data