Pulse coupled neural networks (PCNN), wavelets and radial basis functions: olfactory sensor applications

This paper focuses on novel approaches to olfactory sensor signal analysis: 1) PCNN focusing, 2) wavelet characterization and 3) radial basis function detection of anomalies. Novel decision aide approaches are developed to facilitate design of routines to automatically trigger calibration and/or ana...

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Published in1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) Vol. 3; pp. 1784 - 1789 vol.3
Main Authors Padgett, M.L., Roppel, T.A., Johnson, J.L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Calibration
Couplings
Neural networks
Olfactory
Sensor phenomena and characterization
Sensor systems
Signal analysis
Signal design
Transient analysis
Wavelet analysis
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Summary:This paper focuses on novel approaches to olfactory sensor signal analysis: 1) PCNN focusing, 2) wavelet characterization and 3) radial basis function detection of anomalies. Novel decision aide approaches are developed to facilitate design of routines to automatically trigger calibration and/or analysis when transient signals indicate an anomaly. These three signal analysis steps are integrated into a decision system to separate sensor faults from targets, and then recalibrate the target detection and identification procedures.
ISBN:0780348591
9780780348592
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1998.687127