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...

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1. Verfasser: Sverdlove, R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Data mining
Displays
Laboratories
Neural networks
Signal design
Signal processing
Supervised learning
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description 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_str_mv 10.1109/NNSP.1993.471833
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subjects Data mining
Displays
Laboratories
Neural networks
Signal design
Signal processing
Supervised learning
title A neural net application to signal identification
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