Speedier sequential tests via stochastic resonance

Speedier sequential tests via stochastic resonance

Stochastic resonance (SR) is a phenomenon long investigated by physicists that has recently attracted some interest in the signal processing literature. In this paper, we explore the potential benefits of the SR effect for shift-in-mean detection problems, specifically focusing on sequential decisio...

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Bibliographische Detailangaben
Hauptverfasser: Guerriero, M., Willett, P., Marano, S., Matta, V.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Detectors
Physics
Sequential analysis
Sequential Detection
Signal analysis
Signal processing
Signal to noise ratio
Stochastic resonance
Strontium
Testing
Wireless sensor networks
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Beschreibung
Zusammenfassung:Stochastic resonance (SR) is a phenomenon long investigated by physicists that has recently attracted some interest in the signal processing literature. In this paper, we explore the potential benefits of the SR effect for shift-in-mean detection problems, specifically focusing on sequential decision rules. Amenable formulas for the optimal distribution of the SR noise, as well as an asymptotic comparison with the traditional Neyman-Pearson approach are obtained.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2008.4518506