The present study deals with comparative evaluation of various methods
for time delay estimations applied to multichannel seizure EEG. The d
ifferent methods included block algorithms, both in time and frequency
domains (such as General Crosscorrelation, FFT, AR), and a new method
for time delay estimation based on adaptive least-squares filtering.
The various time delay estimators were tested on simulated signals and
on real multichannel EEG recorded from rats having generalized seizur
es with focal onset. The adaptive least-squares filtering (the lattice
-ladder type) has been found as the most efficient for time delay esti
mation.