A neural net application to signal identification

摘要

Results from an ongoing research project concerning detection and identification of signals in a relatively quiescent background are discussed. The signals to be identified are of varying duration, and the number of different signal classes is large ( 1,000) and is frequently expanded or reduced. The author's approach to solving this real-world problem is presented, and initial results are shown.