HSVD of a complex vector.

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)

Arguments

y

time domain signal to be filtered as a vector.

fs

sampling frequency of y.

comps

number of Lorentzian components to use for modelling.

irlba

option to use irlba SVD (logical).

max_damp

maximum allowable damping factor. Default value of 0 ensures resultant model is damped.

Value

basis matrix and signal table.