HSVD method as described in: Barkhuijsen H, de Beer R, van Ormondt D. Improved algorithm for noniterative and timedomain model fitting to exponentially damped magnetic resonance signals. J Magn Reson 1987;73:553-557.
hsvd_vec(y, fs, comps = 40, irlba = TRUE, max_damp = 0)time domain signal to be filtered as a vector.
sampling frequency of y.
number of Lorentzian components to use for modelling.
option to use irlba SVD (logical).
maximum allowable damping factor. Default value of 0 ensures resultant model is damped.
basis matrix and signal table.