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Table 2 Results of filtering mfVEP signals (N = 600, p = 250, Ts = 1/1200 s)

From: Coding Prony’s method in MATLAB and applying it to biomedical signal filtering

  Well-approximated control signals (%) Well-approximated MS signals
(%)
SNRCONTROLS SNRMS AUC
DFT 3.59 ± 2.89 2.44 ± 2.11 0.6538
LS 99.57% 99.91% 4.95 ± 4.19 2.85 ± 2.49 0.7055
TLS 48.79% 42.90% 3.65 ± 2.89 2.54 ± 2.24 0.6472
MPM 99.57% 99.91% 4.95 ± 4.19 2.85 ± 2.49 0.7055