We present a new wavelet-based method for single
trial analysis of transient and time variant event-related
potentials (ERPs). Expecting more accurate filter settings
than achieved by other techniques (low-pass filter, a posteriori
Wiener filter, time invariant wavelet filter), ERPs were
initially balanced in time. By simulation, better filter
performance could be established for test signals contaminated
with either white noise or isospectral noise. To provide
an example of real application, the method was applied
to limbic P300 potentials (MTL-P300). As a result, variance
of single trial MTL-P300s decreased, without restricting
the corresponding mean. The proposed method can be regarded
as an alternative for single-trial ERP analysis.