Optimum Order Selection Criterion for Autoregressive Models of Bandlimited EEG Signals

Autoregressive (AR) model is commonly used in many areas of signal processing and is particularly significant in Electroencephalogram (EEG) related studies owing to its enhanced resolution, smoother spectra and its potential to be used on short segments of a signal. When fitting an AR model to an EEG multivariate system, selection of model order ($p$) is of critical importance. While the lower mod...