PySeismoSoil.helper_gof_scores Module

Functions

S_(meas, simu)	Score the provided elements as described in Shi & Asimaki (2017).
baseline_wavelet(signal[, wavelet_level, ...])	Perform baseline correction using wavelet decomposition.
calc_AriasIntensity(accel_in_SI_unit)	Compute Arias intensity for scoring.
calc_rms(x)	Compute the RMS of the provided signal x.
circular_convolve_d(h_t, v_j_1, j)	Code from: https://github.com/pistonly/modwtpy
circular_convolve_mra(h_j_o, w_j)	Calculate the mra D_j.
d_10(measurement, simulation[, fmin, fmax, ...])	Cross-correlation measure of goodness-of-fit, as described in: Anderson (2004).
d_1234(measurement, simulation[, fmin, ...])	Calculate the first four goodness-of-fit scores in the GoF scheme described in Shi & Asimaki (2017).
d_567(measurement, simulation[, fmin, fmax, ...])	Calculate the 5th, 6th, and 7th goodness-of-fit scores in the GoF scheme described in Shi & Asimaki (2017).
d_89(measurement, simulation[, fmin, fmax, ...])	Calculate the last two goodness-of-fit scores in the GoF scheme described in Shi & Asimaki (2017).
getAbsPeak(x)	Get the peak value of the absolute value of a signal x.
modwt(x, filters, level)	Code from: https://github.com/pistonly/modwtpy filters: 'db1', 'db2', 'haar', .
modwtmra(w, filters)	Multiresolution analysis based on MODWT Code from: https://github.com/pistonly/modwtpy
period_list(li, N)	Code from: https://github.com/pistonly/modwtpy
upArrow_op(li, j)	Code from: https://github.com/pistonly/modwtpy