A hybrid neural-fuzzy approach to VHF frequency management

A hybrid neural-fuzzy approach to VHF frequency management

A hybrid architecture for real-time monitoring and analysis of the VHF band is proposed. The design employs digital signal processing and neural network techniques for detection and classification, along with novel fuzzy logic enhancements and decision-making. The resulting hybrid solution is shown...

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Hauptverfasser: Millstrom, N.H., Bonde, A.R., Grimaldi, M.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bonding
Digital signal processing
Frequency shift keying
Fuzzy control
Fuzzy logic
Fuzzy systems
Monitoring
Neural networks
Radiofrequency interference
Signal design
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creator Millstrom, N.H.
Bonde, A.R.
Grimaldi, M.J.
description A hybrid architecture for real-time monitoring and analysis of the VHF band is proposed. The design employs digital signal processing and neural network techniques for detection and classification, along with novel fuzzy logic enhancements and decision-making. The resulting hybrid solution is shown to provide significant performance improvements as compared to a binary logic-based system, and it simplifies design and coding requirements.< >
doi_str_mv 10.1109/NNSP.1993.471844
format Conference Proceeding
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ispartof Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop, 1993, p.441-449
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subjects Bonding
Digital signal processing
Frequency shift keying
Fuzzy control
Fuzzy logic
Fuzzy systems
Monitoring
Neural networks
Radiofrequency interference
Signal design
title A hybrid neural-fuzzy approach to VHF frequency management
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