1. A method of processing a composite signal generated by a transient signal generation mechanism to extract a repetitive, low SNR transient signal from noise therein, comprising the following processes: (a) dynamically identifying, via a learning process, the major transient signal types in said composite signal; (b) decomposing the identified major transient signal types into their respective constituent components; (c) synthesizing a parametric model emulating said transient signal generation mechanism; and (d) utilizing said model and said constituent components to identify and extract said low SNR transient signal from said composite signal.