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)| 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. |
basis matrix and signal table.