gged). There are no restrictions on
artifacts causing larger-than-EEG amplitudes, i.e., virtually anything is
handled (with the exception of a very unlikely type of distribution that
combines with the clean EEG samples into a larger symmetric generalized
Gaussian peak and thereby "fools" the estimator). The default parameters
should work for a wide range of applications but may be adapted to
accommodate special circumstances.
The method works by fitting a truncated generalized Gaussian whose
parameters are 