View source: R/mrs_data_proc.R
hsvd_vec | R Documentation |
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.
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