A neural net application to signal identification

A neural net application to signal identification

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Sverdlove, R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Data mining
Displays
Laboratories
Neural networks
Signal design
Signal processing
Supervised learning
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/NNSP.1993.471833