Interpreting signals by learning

The paper deals with a method of automatic signal interpretation using knowledge stored during a preliminary learning phase. The complex signal often need of some adjusts concerning interpretation parameters depending on human experience. Some parameters related to the signal shape are hard to discover being often related to intuition this suggests to go toward their automatic capture, avoiding an explicit description often unclear.