Pulse coupled neural networks (PCNN), wavelets and radial basis functions: olfactory sensor applications
| Autor: | Mary Lou Padgett, Thaddeus Roppel, John L. Johnson |
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| Rok vydání: | 2002 |
| Předmět: |
Signal processing
Artificial neural network Pulse (signal processing) Computer science business.industry Calibration (statistics) Wavelet transform Pattern recognition Machine learning computer.software_genre Identification (information) Wavelet Radial basis function Artificial intelligence business computer |
| Zdroj: | 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227). |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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