A method and apparatus for processing a composite signal generated by a transient
signal generation mechanism to extract a repetitive low SNR transient signal, such
as an evoked potential (EP) appearing in an electroencephalogram (EEG) generated
in response to sensory stimulation, by: (a) dynamically identifying, via a learning
process, the major transient signal types in the composite signal; (b) decomposing
the identified major transient signal types into their respective constituent components;
(c) synthesizing a parametric model emulating the transient signal generation mechanism;
and (d) utilizing the model and the constituent components to identify and extract
the low SNR transient signal from the composite signal.
